Tootfinder

Now at their second iteration and procuring the third one, GÉANT #cloud frameworks continue to be a fundamental propelling and shaping force for #DigitalTransformation in European #Research &

How GÉANT Cloud Frameworks outline the cloudscape* of European R&E – A panoramic view | GÉANT CONNECT Online
This article is part of a section on commercial cloud procurement, published in the March 2024 issue of the GÉANT CONNECT Magazine (CONNECT45). We also suggest reading "From the OCRE project to EOSC Future - lessons learned in commercial cloud procurement". In the rapidly evolving global landscape of Research and Education, cloud-based services have become

Now at their second iteration and procuring the third one, GÉANT #cloud frameworks continue to be a fundamental propelling and shaping force for #DigitalTransformation in European #Research &

How GÉANT Cloud Frameworks outline the cloudscape* of European R&E – A panoramic view | GÉANT CONNECT Online
This article is part of a section on commercial cloud procurement, published in the March 2024 issue of the GÉANT CONNECT Magazine (CONNECT45). We also suggest reading "From the OCRE project to EOSC Future - lessons learned in commercial cloud procurement". In the rapidly evolving global landscape of Research and Education, cloud-based services have become

This is a good point. I’m a big proponent of *provider diversity*. Every cloud service you use should have a different login. Every piece of data you create should have an easily-accessible copy in your local file system. Everything on your computer should be backed up offsite with a separate cloud backup.
Do not put all your eggs into one cloud service basket. Do not use the same login for unrelated services. This rules out most of Apple’s cloud products for me.

I need to get a new smartphone since my Pixel 4a ran out of support already. 😞
I narrowed down my options to three devices that fit my requirements.
The Pixel 8a seems to be cheaper and even better compared to the 8.
I won't use games or any of the AI stuff nor Google cloud services. Therefore, I guess that Tensor 4 of the Pixel 9 won't provide much benefit to me.
Unfortunately, the #Pixel

Look at the state of this.
LARUS Ltd sitting on AFRINIC IP addresses but leasing them to a company in Hong Kong and then when they receive an abuse report for THEIR IP ADDRESSES they don't even handle it but say "contact our customer". That's not how this is supposed to work. It's not how any of this is supposed to work.
Absolute scum carpetbaggers.

In general, never have your data exist only in one place. Cloud storage is fine, as long as you have another copy somewhere else. The second copy could also be in the cloud; it just needs to be in some other provider’s cloud.
The key is *duplication* and elimination of single points of failure, as much as possible. https://

Optimal Allocation of Tasks and Price of Anarchy of Distributed Optimization in Networked Computing Facilities
Vincenzo Mancuso, Paolo Castagno, Leonardo Badia, Matteo Sereno, Marco Ajmone Marsan
https://arxiv.org/abs/2404.05543

Optimal Allocation of Tasks and Price of Anarchy of Distributed Optimization in Networked Computing Facilities
The allocation of computing tasks for networked distributed services poses a question to service providers on whether centralized allocation management be worth its cost. Existing analytical models were conceived for users accessing computing resources with practically indistinguishable (hence irrelevant for the allocation decision) delays, which is typical of services located in the same distant data center. However, with the rise of the edge-cloud continuum, a simple analysis of the sojourn t…

Alibaba is cutting prices for over 100 core cloud products in China by up to 55%, and 20% on average, including data storage and elastic computing products (Bloomberg)
https://www.bloomberg.com/news/articles/2024-02…

Alibaba Unveils Big Cloud Price Cuts as AI Rivalry Deepens
Alibaba Group Holding Ltd. is rolling out its second major price cut for cloud services in years, aiming to win back users from rivals like Tencent Holdings Ltd. competing to provide the tools critical to training artificial intelligence.

Strategies for Intrusion Monitoring in Cloud Services
George R. S. Weir, Andreas A{\ss}muth
https://arxiv.org/abs/2405.02070 https://…

Strategies for Intrusion Monitoring in Cloud Services
Effective activity and event monitoring is an essential aspect of digital forensic readiness. Techniques for capturing log and other event data are familiar from conventional networked hosts and transfer directly to the Cloud context. In both contexts, a major concern is the risk that monitoring systems may be targeted and impaired by intruders seeking to conceal their illicit presence and activities. We outline an approach to intrusion monitoring that aims (i)~to ensure the credibility of log …

Don't miss today's Metacurity for the top infosec developments you should know, including
--Russia's SVR Switches tactics to target victims' cloud services
--ALPHV responsible for attack on UnitedHealth,
--White House wants greater use of memory-safe programming languages,
--Commerce adds Sandvine to entity list,
--One Myanmar company has swindled $100 million in pig butchering scams,
--SubdoMailing ad fraud campaign sends five million emails daily,
--17m LoanDepot customers' data stolen in attack,
--much more
https://www.metacurity.com/p/russias-svr-switch-tactics-target-victims-cloud-services

Intelligent monitoring: Towards AI-assisted monitoring for cloud services
https://www.microsoft.com/en-us/research/blog/intelligent-monitoring-towards-ai-assisted-monitoring-for-cloud-services/

Exploring LLM-based Agents for Root Cause Analysis
Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
https://arxiv.org/abs/2403.04123

Exploring LLM-based Agents for Root Cause Analysis
The growing complexity of cloud based software systems has resulted in incident management becoming an integral part of the software development lifecycle. Root cause analysis (RCA), a critical part of the incident management process, is a demanding task for on-call engineers, requiring deep domain knowledge and extensive experience with a team's specific services. Automation of RCA can result in significant savings of time, and ease the burden of incident management on on-call engineers. Recen…

Energy-Efficient Deployment of Stateful FaaS Vertical Applications on Edge Data Networks
Claudio Cicconetti, Raffaele Bruno, Andrea Passarella
https://arxiv.org/abs/2405.04263

Energy-Efficient Deployment of Stateful FaaS Vertical Applications on Edge Data Networks
5G and beyond support the deployment of vertical applications, which is particularly appealing in combination with network slicing and edge computing to create a logically isolated environment for executing customer services. Even if serverless computing has gained significant interest as a cloud-native technology its adoption at the edge is lagging, especially because of the need to support stateful tasks, which are commonplace in, e.g., cognitive services, but not fully amenable to being depl…

Alibaba is cutting prices for over 100 core cloud products in China by up to 55%, and 20% on average, including data storage and elastic computing products (Bloomberg)
https://www.bloomberg.com/news/articles/2024-02…

Alibaba Unveils Big Cloud Price Cuts as AI Rivalry Deepens
Alibaba Group Holding Ltd. is rolling out its second major price cut for cloud services in years, aiming to win back users from rivals like Tencent Holdings Ltd. competing to provide the tools critical to training artificial intelligence.

Deadly cloud.
https://theintercept.com/2024/05/01/google-amazon-nimbus-israel-weapons-arms-gaza/

This https://arxiv.org/abs/2404.12135 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csMA_…

mABC: multi-Agent Blockchain-Inspired Collaboration for root cause analysis in micro-services architecture
The escalating complexity of micro-services architecture in cloud-native technologies poses significant challenges for maintaining system stability and efficiency. To conduct root cause analysis (RCA) and resolution of alert events, we propose a pioneering framework, multi-Agent Blockchain-inspired Collaboration for root cause analysis in micro-services architecture (mABC), to revolutionize the AI for IT operations (AIOps) domain, where multiple agents based on the powerful large language model…

Do Rails next https://mastodon.social/@jbzfn/112192252501750998

There are some of us that do this by accident.
https://medium.com/google-cloud/using-a-petabyte-scale-databases-monitoring-tools-to-make-art-8aa8eb17234

Germany publishes law that will make E2EE mandatory for messengers and cloud
https://tuta.com/blog/german-government-publishes-encryption-law

Interesting - and logical - to see the first third-party distributor of Tesla DC chargers adding smart charging ("automates charging when energy costs are low") as a key feature for fleets.
https://bppulsefleet.com/fleet/product

EV charging bundle with Tesla hardware - bp pulse
The bp pulse EV charging bundle with Tesla hardware combines ultra-fast Tesla hardware, charge management software, and warranty in one solution for smarter, more reliable EV fleet charging.

Question: How would you fork Android for Smartphones today, so that such a forked Android phone:
1) could be as far as possible be not dependent on either AOSP or Google/Alphabet owned products and services,
2) could essentially use app binaries/packages designed and/or coded for "mainline/official" Google-approved Android, and
3) more or less participate adequately (or even participate "fully") in the global mobile Inter-networked Internet and the Inter…

Student protesters are demanding universities divest from Israel.
What does that mean?
Student protesters calling for divestment from the war in Gaza have chosen divergent targets.
At Columbia, students are demanding the university drop its direct investments in companies doing business in or with Israel, including Amazon and Google, which are part of a $1.2bn cloud-computing contract with Israel’s government; Microsoft, whose services are used by Israel’s ministry of defe…

Practical Applications of Advanced Cloud Services and Generative AI Systems in Medical Image Analysis
Jingyu Xu, Binbin Wu, Jiaxin Huang, Yulu Gong, Yifan Zhang, Bo Liu
https://arxiv.org/abs/2403.17549

Practical Applications of Advanced Cloud Services and Generative AI Systems in Medical Image Analysis
The medical field is one of the important fields in the application of artificial intelligence technology. With the explosive growth and diversification of medical data, as well as the continuous improvement of medical needs and challenges, artificial intelligence technology is playing an increasingly important role in the medical field. Artificial intelligence technologies represented by computer vision, natural language processing, and machine learning have been widely penetrated into diverse…

Dependency Aware Incident Linking in Large Cloud Systems
Supriyo Ghosh, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan
https://arxiv.org/abs/2403.18639

Dependency Aware Incident Linking in Large Cloud Systems
Despite significant reliability efforts, large-scale cloud services inevitably experience production incidents that can significantly impact service availability and customer's satisfaction. Worse, in many cases one incident can lead to multiple downstream failures due to cascading effects that creates several related incidents across different dependent services. Often time On-call Engineers (OCEs) examine these incidents in silos that lead to significant amount of manual toil and increase the…

QSimPy: A Learning-centric Simulation Framework for Quantum Cloud Resource Management
Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya
https://arxiv.org/abs/2405.01021

QSimPy: A Learning-centric Simulation Framework for Quantum Cloud Resource Management
Quantum cloud computing is an emerging computing paradigm that allows seamless access to quantum hardware as cloud-based services. However, effective use of quantum resources is challenging and necessitates robust simulation frameworks for effective resource management design and evaluation. To address this need, we proposed QSimPy, a novel discrete-event simulation framework designed with the main focus of facilitating learning-centric approaches for quantum resource management problems in clo…

Nvidia launches Quantum Cloud, a service that simulates a quantum computer and allows researchers to test out their quantum computing software (Jane Lanhee Lee/Bloomberg)
https://www.bloomberg.com/news/articles/2024-…

Nvidia Joins Ongoing Race in Quantum-Computing Cloud Services
Nvidia Corp. launched a cloud service for researchers to test out their quantum-computing software, seeking to profit from a field that’s winning funding around the world despite yielding few groundbreaking applications so far.

We are excited to announce the publication of the #OCRE2024 Tender for the large-scale procurement of commercial #cloud services offerings for our pan-European #Research and

GÉANT announces publication of OCRE 2024 tender for pan-European cloud services procurement | GÉANT CONNECT Online
21 March 2024. GÉANT is delighted to announce the publication of the OCRE 2024 Tender for the large-scale procurement of commercial cloud services offerings for its pan-European Research and Education community. The tender aims to procure the OCRE 2024 Cloud framework agreements - the third iteration of GÉANT’s flagship cloud frameworks that since 2016 have

Oxford team claims secure 'quantum computing from home' breakthrough
Verifiable blind quantum computing promises ultra-secure access to cloud quantum services
https://www.computing.co.uk/news/4196691/oxford-team-…

Oxford team claims secure 'quantum computing from home' breakthrough
A team of scientists at Oxford University Physics department claim to have achieved a significant breakthrough in the field of quantum computing, with a new method that promises guaranteed security and privacy when using cloud services remotely.

This feels underwhelming from a developer’s perspective in the ecosystem. It’s all talk about tooling, AI services, and cloud hosting, which doesn’t tell me why I should care anymore about .NET as a platform.
https://devblogs.microsoft.com/dotnet/our-vision-for-dotn…

Our Vision for .NET 9 - .NET Blog
Welcome to .NET 9! Learn about how we're improving .NET for all kinds of apps, with a special focus on cloud native, AI, and performance.

Of course they do. Google is so problematic it’s hard to keep track. https://akademienl.social/@Frederik_Borgesius/112268596458685901

Cell-Free MIMO Perceptive Mobile Networks: Cloud vs. Edge Processing
Seongah Jeong (Shitz), Jinkyu Kang (Shitz), Osvaldo Simeone (Shitz), Shlomo Shamai (Shitz)
https://arxiv.org/abs/2403.19200

Cell-Free MIMO Perceptive Mobile Networks: Cloud vs. Edge Processing
Perceptive mobile networks implement sensing and communication by reusing existing cellular infrastructure. Cell-free multiple-input multiple-output, thanks to the cooperation among distributed access points, supports the deployment of multistatic radar sensing, while providing high spectral efficiency for data communication services. To this end, the distributed access points communicate over fronthaul links with a central processing unit acting as a cloud processor. This work explores four di…

For years I've kept my family's computers backed up to the cloud with BackBlaze, but it's not cheap, and most of our stuff is in cloud services these days anyway. I'm thinking of downgrading to something more affordable. iDrive is an incredible deal - but how's their software? Any good or bad experiences to share? Other alternatives?

Informed and Assessable Observability Design Decisions in Cloud-native Microservice Applications
Maria C. Borges, Joshua Bauer, Sebastian Werner, Michael Gebauer, Stefan Tai
https://arxiv.org/abs/2403.00633

Informed and Assessable Observability Design Decisions in Cloud-native Microservice Applications
Observability is important to ensure the reliability of microservice applications. These applications are often prone to failures, since they have many independent services deployed on heterogeneous environments. When employed "correctly", observability can help developers identify and troubleshoot faults quickly. However, instrumenting and configuring the observability of a microservice application is not trivial but tool-dependent and tied to costs. Architects need to understand observability…

AutoNet: Automatic Reachability Policy Management in Public Cloud Networks
German Sviridov, Zheng Tao Shen, Jorge Cardoso
https://arxiv.org/abs/2404.19372 …

AutoNet: Automatic Reachability Policy Management in Public Cloud Networks
Virtual Private Cloud (VPC) is the main network abstraction technology used in public cloud systems. VPCs are composed of a set of network services that permit the definition of complex network reachability properties among internal and external cloud entities such as tenants' VMs or some generic internet nodes. Although hiding the underlying complexity through a comprehensible abstraction layer, manually enforcing particular reachability intents in VPC networks is still notably error-prone and…

This https://arxiv.org/abs/2404.10255 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Privacy-Preserving Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems
On-device intelligence (ODI) enables artificial intelligence (AI) applications to run on end devices, providing real-time and customized AI services without relying on remote servers. However, training models for on-device deployment face significant challenges due to the decentralized and privacy-sensitive nature of users' data, along with end-side constraints related to network connectivity, computation efficiency, etc. Existing training paradigms, such as cloud-based training, federated lear…

Question: How would you fork Android for Smartphones today, so that such a forked Android phone:
1) could be as far as possible be not dependent on either AOSP or Google/Alphabet owned products and services,
2) could essentially use app binaries/packages designed and/or coded for "mainline/official" Google-approved Android, and
3) more or less participate adequately (or even participate "fully") in the global mobile Inter-networked Internet and the Inter…

Google fires 28 workers for protesting $1.2 billion Israel contract #Google #Gaza

Talking about EU sovereignty at work I came across this #Alternatives

Homepage | European Alternatives
We help you find European alternatives for digital service and products, like cloud services and SaaS products.

R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based Robots Ecosystems via Proposal Refinement
Michele Antonazzi, Matteo Luperto, N. Alberto Borghese, Nicola Basilico
https://arxiv.org/abs/2403.11567

R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based Robots Ecosystems via Proposal Refinement
We introduce a novel approach for scalable domain adaptation in cloud robotics scenarios where robots rely on third-party AI inference services powered by large pre-trained deep neural networks. Our method is based on a downstream proposal-refinement stage running locally on the robots, exploiting a new lightweight DNN architecture, R2SNet. This architecture aims to mitigate performance degradation from domain shifts by adapting the object detection process to the target environment, focusing o…

Seer: Proactive Revenue-Aware Scheduling for Live Streaming Services in Crowdsourced Cloud-Edge Platforms
Shaoyuan Huang, Zheng Wang, Zhongtian Zhang, Heng Zhang, Xiaofei Wang, Wenyu Wang
https://arxiv.org/abs/2402.14619

Seer: Proactive Revenue-Aware Scheduling for Live Streaming Services in Crowdsourced Cloud-Edge Platforms
As live streaming services skyrocket, Crowdsourced Cloud-edge service Platforms (CCPs) have surfaced as pivotal intermediaries catering to the mounting demand. Despite the role of stream scheduling to CCPs' Quality of Service (QoS) and throughput, conventional optimization strategies struggle to enhancing CCPs' revenue, primarily due to the intricate relationship between resource utilization and revenue. Additionally, the substantial scale of CCPs magnifies the difficulties of time-intensive sc…

This https://arxiv.org/abs/2310.10817 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Understanding Documentation Use Through Log Analysis: An Exploratory Case Study of Four Cloud Services
Almost no modern software system is written from scratch, and developers are required to effectively learn to use third-party libraries or software services. Thus, many practitioners and researchers have looked for ways to create effective documentation that supports developers' learning. However, few efforts have focused on how people actually use the documentation. In this paper, we report on an exploratory, multi-phase, mixed methods empirical study of documentation page-view logs from four …

Shotit: compute-efficient image-to-video search engine for the cloud
Leslie Wong
https://arxiv.org/abs/2404.12169 https://arxiv.org/p…

Shotit: compute-efficient image-to-video search engine for the cloud
With the rapid growth of information technology, users are exposed to a massive amount of data online, including image, music, and video. This has led to strong needs to provide effective corresponsive search services such as image, music, and video search services. Most of them are operated based on keywords, namely using keywords to find related image, music, and video. Additionally, there are image-to-image search services that enable users to find similar images using one input image. Given…

This https://arxiv.org/abs/2312.16735 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Flock: A Low-Cost Streaming Query Engine on FaaS Platforms
Existing serverless data analytics systems rely on external storage services like S3 for data shuffling and communication between cloud functions. While this approach provides the elasticity benefits of serverless computing, it incurs additional latency and cost overheads. We present Flock, a novel cloud-native streaming query engine that leverages the on-demand scalability of FaaS platforms for real-time data analytics. Flock utilizes function invocation payloads for efficient data exchange, e…

Microsoft Q3: Windows OEM revenue up 11% YoY, devices revenue down 17% YoY, overall gaming revenue up 51% YoY, and Xbox content and services revenue up 62% YoY (Tom Warren/The Verge)
https://www.theverge.com/2024/4/25/2413998

Microsoft Q3 2024: Surface and Xbox hardware take a big hit
Microsoft’s cloud revenues make up for a big hit in revenue for devices and Xbox hardware. Cloud and Office are once again the stars for Microsoft earnings.

This https://arxiv.org/abs/2306.06112 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems
More and more edge devices and mobile apps are leveraging deep learning (DL) capabilities. Deploying such models on devices -- referred to as on-device models -- rather than as remote cloud-hosted services, has gained popularity because it avoids transmitting user data off of the device and achieves high response time. However, on-device models can be easily attacked, as they can be accessed by unpacking corresponding apps and the model is fully exposed to attackers. Recent studies show that at…

This https://arxiv.org/abs/2203.14859 has been replaced.
link: https://scholar.google.com/scholar?q=a

FaaSKeeper: Learning from Building Serverless Services with ZooKeeper as an Example
FaaS (Function-as-a-Service) revolutionized cloud computing by replacing persistent virtual machines with dynamically allocated resources. This shift trades locality and statefulness for a pay-as-you-go model more suited to variable and infrequent workloads. However, the main challenge is to adapt services to the serverless paradigm while meeting functional, performance, and consistency requirements. In this work, we push the boundaries of FaaS computing by designing a serverless variant of Zoo…

Microsoft Q3: Windows OEM revenue up 11% YoY, devices revenue down 17% YoY, overall gaming revenue up 51% YoY, and Xbox content and services revenue up 62% YoY (Tom Warren/The Verge)
https://www.theverge.com/2024/4/25/2413998

Microsoft Q3 2024: Surface and Xbox hardware take a big hit
Microsoft’s cloud revenues make up for a big hit in revenue for devices and Xbox hardware. Cloud and Office are once again the stars for Microsoft earnings.

Cross-Cluster Networking to Support Extended Reality Services
Theodoros Theodoropoulos, Luis Rosa, Abderrahmane Boudi, Tarik Zakaria Benmerar, Antonios Makris, Tarik Taleb, Luis Cordeiro, Konstantinos Tserpes, JaeSeung Song
https://arxiv.org/abs/2405.00558

Cross-Cluster Networking to Support Extended Reality Services
Extented Reality (XR) refers to a class of contemporary services that are intertwined with a plethora of rather demanding Quality of Service (QoS) and functional requirements. Despite Kubernetes being the de-facto standard in terms of deploying and managing contemporary containerized microservices, it lacks adequate support for cross-cluster networking, hindering service-to-service communication across diverse cloud domains. Although there are tools that may be leveraged alongside Kubernetes in…

Today’s #SpammerDuJour is one “Lucie Kovacova" of Onvego (.co) spamming via GMail. Using obviously bot-written text to pitch an “AI-powered receptionist" to me as an “executive" in a firm “specializing in managed cloud computing and IT services."
In the B2B spam world, the LLM snake oil is strong: it makes the spam more obvious.

This https://arxiv.org/abs/2306.06112 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems
More and more edge devices and mobile apps are leveraging deep learning (DL) capabilities. Deploying such models on devices -- referred to as on-device models -- rather than as remote cloud-hosted services, has gained popularity because it avoids transmitting user data off of the device and achieves high response time. However, on-device models can be easily attacked, as they can be accessed by unpacking corresponding apps and the model is fully exposed to attackers. Recent studies show that at…

R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based Robots Ecosystems via Proposal Refinement
Michele Antonazzi, Matteo Luperto, N. Alberto Borghese, Nicola Basilico
https://arxiv.org/abs/2403.11567

R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based Robots Ecosystems via Proposal Refinement
We introduce a novel approach for scalable domain adaptation in cloud robotics scenarios where robots rely on third-party AI inference services powered by large pre-trained deep neural networks. Our method is based on a downstream proposal-refinement stage running locally on the robots, exploiting a new lightweight DNN architecture, R2SNet. This architecture aims to mitigate performance degradation from domain shifts by adapting the object detection process to the target environment, focusing o…

Don't miss today's Metacurity for the most critical infosec developments you should know today, including
--Researchers stopped XZ Utils-Type malicious Actors targeting three JavaScript projects
--RansomHub starts leaking Change Healthcare data,
-- Hackers stole some Cisco Duo's customers' VoIP and SMS logs,
--Cryptojacker busted for stealing cloud services,
--Chirp Systems silent on smart lock vulnerability,
--Critics question Microsoft's incentive to improve security,
--FTC slams Cerebral for sharing customers' health info with advertisers,
--Ukraine hackers claim Russian drone developer breach,
--Palo Alto rolls out fixes for zero-day,
--much more
https://www.metacurity.com/p/researchers-stopped-xz-utilstype-malicious-actors-targeting-three-javascript-projects

This https://arxiv.org/abs/1507.01546 has been replaced.
link: https://scholar.google.com/scholar?q=a

Autonomic Cloud Computing: Research Perspective
As the cloud infrastructure grows, it becomes more challenging to manage resources in such a massive, diverse, and distributed setting, despite the fact that cloud computing provides computational capabilities on-demand. Due to resource variability and unpredictability, resource allocation issues arise in a cloud setting. A Quality of Service (QoS) based autonomic resource management strategy automates resource management, delivering trustworthy, dependable, and cost-effective cloud services th…

Amazon Web Services (AWS) has acquired Talen Energy’s data center campus at a nuclear power station in Pennsylvania.
#Talen #Energy #Corporation this week announced it has sold its 960MW

AWS acquires Talen’s nuclear data center campus in Pennsylvania
Cloud company pays $650 million – plans 960MW campus

Reducing Communication Overhead in the IoT-Edge-Cloud Continuum: A Survey on Protocols and Data Reduction Strategies
Dora Krekovi\'c, Petar Krivi\'c, Ivana Podnar \v{Z}arko, Mario Ku\v{s}ek, Danh Le-Phuoc
https://arxiv.org/abs/2404.19492

Reducing Communication Overhead in the IoT-Edge-Cloud Continuum: A Survey on Protocols and Data Reduction Strategies
The adoption of the Internet of Things (IoT) deployments has led to a sharp increase in network traffic as a vast number of IoT devices communicate with each other and IoT services through the IoT-edge-cloud continuum. This network traffic increase poses a major challenge to the global communications infrastructure since it hinders communication performance and also puts significant strain on the energy consumption of IoT devices. To address these issues, efficient and collaborative IoT solutio…

On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Program Scheduling
Wenjie Wu, Yiquan Wang, Ge Yan, Yuming Zhao, Junchi Yan
https://arxiv.org/abs/2404.07882

On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Program Scheduling
Quantum computing has gained considerable attention, especially after the arrival of the Noisy Intermediate-Scale Quantum (NISQ) era. Quantum processors and cloud services have been made world-wide increasingly available. Unfortunately, programs on existing quantum processors are often executed in series, and the workload could be heavy to the processor. Typically, one has to wait for hours or even longer to obtain the result of a single quantum program on public quantum cloud due to long queue…

Haina Storage: A Decentralized Secure Storage Framework Based on Improved Blockchain Structure
Zijian Zhou, Caimei Wang, Xiaoheng Deng, Jianhao Lu, Qilue Wen, Chen Zhang, Hong Li
https://arxiv.org/abs/2404.01606

Haina Storage: A Decentralized Secure Storage Framework Based on Improved Blockchain Structure
Although the decentralized storage technology based on the blockchain can effectively realize secure data storage on cloud services. However, there are still some problems in the existing schemes, such as low storage capacity and low efficiency. To address related issues, we propose a novel decentralized storage framework, which mainly includes four aspects: (1) we proposed a Bi-direction Circular Linked Chain Structure (BCLCS), which improves data's storage capacity and applicability in decent…

mABC: multi-Agent Blockchain-Inspired Collaboration for root cause analysis in micro-services architecture
Wei Zhang, Hongcheng Guo, Jian Yang, Yi Zhang, Chaoran Yan, Zhoujin Tian, Hangyuan Ji, Zhoujun Li, Tongliang Li, Tieqiao Zheng, Chao Chen, Yi Liang, Xu Shi, Liangfan Zheng, Bo Zhang
https://arxiv.org/abs/2404.12135

mABC: multi-Agent Blockchain-Inspired Collaboration for root cause analysis in micro-services architecture
The escalating complexity of micro-services architecture in cloud-native technologies poses significant challenges for maintaining system stability and efficiency. To conduct root cause analysis (RCA) and resolution of alert events, we propose a pioneering framework, multi-Agent Blockchain-inspired Collaboration for root cause analysis in micro-services architecture (mABC), to revolutionize the AI for IT operations (AIOps) domain, where multiple agents based on the powerful large language model…

Cloudy with a Chance of Cyberattacks: Dangling Resources Abuse on Cloud Platforms
Jens Frie{\ss} (National Research Center for Applied Cybersecurity ATHENE, Technische Universit\"at Darmstadt), Tobias Gattermayer (National Research Center for Applied Cybersecurity ATHENE, Fraunhofer Institute for Secure Information Technology SIT), Nethanel Gelernter (IONIX), Haya Schulmann (National Research Center for Applied Cybersecurity ATHENE, Goethe-Universit\"at Frankfurt), Michael Wa…

Cloudy with a Chance of Cyberattacks: Dangling Resources Abuse on Cloud Platforms
Recent works showed that it is feasible to hijack resources on cloud platforms. In such hijacks, attackers can take over released resources that belong to legitimate organizations. It was proposed that adversaries could abuse these resources to carry out attacks against customers of the hijacked services, e.g., through malware distribution. However, to date, no research has confirmed the existence of these attacks. We identify, for the first time, real-life hijacks of cloud resources. This yiel…

This https://arxiv.org/abs/2403.11567 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based Robots Ecosystems via Proposal Refinement
We introduce a novel approach for scalable domain adaptation in cloud robotics scenarios where robots rely on third-party AI inference services powered by large pre-trained deep neural networks. Our method is based on a downstream proposal-refinement stage running locally on the robots, exploiting a new lightweight DNN architecture, R2SNet. This architecture aims to mitigate performance degradation from domain shifts by adapting the object detection process to the target environment, focusing o…

Optimizing Service Placement in Edge-to-Cloud AR/VR Systems using a Multi-Objective Genetic Algorithm
Mohammadsadeq Garshasbi Herabad, Javid Taheri, Bestoun S. Ahmed, Calin Curescu
https://arxiv.org/abs/2403.12849

Optimizing Service Placement in Edge-to-Cloud AR/VR Systems using a Multi-Objective Genetic Algorithm
Augmented Reality (AR) and Virtual Reality (VR) systems involve computationally intensive image processing algorithms that can burden end-devices with limited resources, leading to poor performance in providing low latency services. Edge-to-cloud computing overcomes the limitations of end-devices by offloading their computations to nearby edge devices or remote cloud servers. Although this proves to be sufficient for many applications, optimal placement of latency sensitive AR/VR services in ed…

Enhancing IoT Security: A Novel Feature Engineering Approach for ML-Based Intrusion Detection Systems
Afsaneh Mahanipour, Hana Khamfroush
https://arxiv.org/abs/2404.19114 https://arxiv.org/pdf/2404.19114
arXiv:2404.19114v1 Announce Type: new
Abstract: The integration of Internet of Things (IoT) applications in our daily lives has led to a surge in data traffic, posing significant security challenges. IoT applications using cloud and edge computing are at higher risk of cyberattacks because of the expanded attack surface from distributed edge and cloud services, the vulnerability of IoT devices, and challenges in managing security across interconnected systems leading to oversights. This led to the rise of ML-based solutions for intrusion detection systems (IDSs), which have proven effective in enhancing network security and defending against diverse threats. However, ML-based IDS in IoT systems encounters challenges, particularly from noisy, redundant, and irrelevant features in varied IoT datasets, potentially impacting its performance. Therefore, reducing such features becomes crucial to enhance system performance and minimize computational costs. This paper focuses on improving the effectiveness of ML-based IDS at the edge level by introducing a novel method to find a balanced trade-off between cost and accuracy through the creation of informative features in a two-tier edge-user IoT environment. A hybrid Binary Quantum-inspired Artificial Bee Colony and Genetic Programming algorithm is utilized for this purpose. Three IoT intrusion detection datasets, namely NSL-KDD, UNSW-NB15, and BoT-IoT, are used for the evaluation of the proposed approach.

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides
Kaikai An, Fangkai Yang, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Qi Zhang
https://arxiv.org/abs/2402.17531

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides
Effective incident management is pivotal for the smooth operation of enterprises-level cloud services. In order to expedite incident mitigation, service teams compile troubleshooting knowledge into Troubleshooting Guides (TSGs) accessible to on-call engineers (OCEs). While automated pipelines are enabled to resolve the most frequent and easy incidents, there still exist complex incidents that require OCEs' intervention. However, TSGs are often unstructured and incomplete, which requires manual …

Lambda, which offers cloud computing services and computers to train AI, raised $320M led by Thomas Tull's US Innovative Technology at a $1.5B valuation (Rachel Metz/Bloomberg)
https://www.bloomberg.com/news/articles/2024-0…

Lambda Hits $1.5 Billion Valuation for AI Computing
The startup raised $320 million in a new funding round.

CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services
Abel Souza, Shruti Jasoria, Basundhara Chakrabarty, Alexander Bridgwater, Axel Lundberg, Filip Skogh, Ahmed Ali-Eldin, David Irwin, Prashant Shenoy
https://arxiv.org/abs/2403.14792

CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services
There has been a significant societal push towards sustainable practices, including in computing. Modern interactive workloads such as geo-distributed web-services exhibit various spatiotemporal and performance flexibility, enabling the possibility to adapt the location, time, and intensity of processing to align with the availability of renewable and low-carbon energy. An example is a web application hosted across multiple cloud regions, each with varying carbon intensity based on their local …

Lambda, which offers cloud computing services and computers to train AI, raised $320M led by Thomas Tull's US Innovative Technology at a $1.5B valuation (Rachel Metz/Bloomberg)
https://www.bloomberg.com/news/articles/2024-0…

Lambda Hits $1.5 Billion Valuation for AI Computing
The startup raised $320 million in a new funding round.

This https://arxiv.org/abs/2402.04880 has been replaced.
link: https://scholar.google.com/scholar?q=a

Combining Cloud and Mobile Computing for Machine Learning
Although the computing power of mobile devices is increasing, machine learning models are also growing in size. This trend creates problems for mobile devices due to limitations like their memory capacity and battery life. While many services, like ChatGPT and Midjourney, run all the inferences in the cloud, we believe a flexible and fine-grained task distribution is more desirable. In this work, we consider model segmentation as a solution to improving the user experience, dividing the computa…

Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems
Francesco G. Blanco, Enrico Russo, Maurizio Palesi, Davide Patti, Giuseppe Ascia, Vincenzo Catania
https://arxiv.org/abs/2404.08950

Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems
Currently, there is a growing trend of outsourcing the execution of DNNs to cloud services. For service providers, managing multi-tenancy and ensuring high-quality service delivery, particularly in meeting stringent execution time constraints, assumes paramount importance, all while endeavoring to maintain cost-effectiveness. In this context, the utilization of heterogeneous multi-accelerator systems becomes increasingly relevant. This paper presents RELMAS, a low-overhead deep reinforcement le…

Service Level Agreements and Security SLA: A Comprehensive Survey
Serena Nicolazzo, Antonino Nocera, Witold Pedrycz
https://arxiv.org/abs/2405.00009 https:…

Service Level Agreements and Security SLA: A Comprehensive Survey
A Service Level Agreement (SLA) is a formal contract between a service provider and a consumer, representing a crucial instrument to define, manage, and maintain relationships between these two parties. The SLA's ability to define the Quality of Service (QoS) expectations, standards, and accountability helps to deliver high-quality services and increase client confidence in disparate application domains, such as Cloud computing and the Internet of Things. An open research direction in this cont…

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
Pooja Srinivas, Fiza Husain, Anjaly Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan
https://arxiv.org/abs/2403.07927

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
Cloud service owners need to continuously monitor their services to ensure high availability and reliability. Gaps in monitoring can lead to delay in incident detection and significant negative customer impact. Current process of monitor creation is ad-hoc and reactive in nature. Developers create monitors using their tribal knowledge and, primarily, a trial and error based process. As a result, monitors often have incomplete coverage which leads to production issues, or, redundancy which resul…

Oracle reports Q3 revenue up 7% YoY to $13.3B, meeting expectations, and cloud services and license support revenues up 12% YoY to $9.96B; ORCL jumps 9% (Kif Leswing/CNBC)
https://www.cnbc.com/2024/03/11/oracle-shares-rise-on-bet…

Navigating the Docker Ecosystem: A Comprehensive Taxonomy and Survey
Prathamesh Muzumdar, Amol Bhosale, Ganga Prasad Basyal, George Kurian
https://arxiv.org/abs/2403.17940

Navigating the Docker Ecosystem: A Comprehensive Taxonomy and Survey
The cloud computing landscape is rapidly expanding and growing in complexity. It has witnessed the emergence of Cloud Computing as a widely adopted model for efficiently processing large volumes of data by harnessing clusters of commodity computers. This evolution enables the handling of massive data through on-demand services, relying on numerous microservices with diverse dependencies. The technology of containers ensures secure storage, allowing for largescale data processing with high scala…

This https://arxiv.org/abs/2311.06156 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Triad: Trusted Timestamps in Untrusted Environments
We aim to provide trusted time measurement mechanisms to applications and cloud infrastructure deployed in environments that could harbor potential adversaries, including the hardware infrastructure provider. Despite Trusted Execution Environments (TEEs) providing multiple security functionalities, timestamps from the Operating System are not covered. Nevertheless, some services require time for validating permissions or ordering events. To address that need, we introduce Triad, a trusted times…

This https://arxiv.org/abs/2212.12850 has been replaced.
link: https://scholar.google.com/scholar?q=a

MicroRes: Versatile Resilience Profiling in Microservices via Degradation Dissemination Indexing
Microservice resilience, the ability of microservices to recover from failures and continue providing reliable and responsive services, is crucial for cloud vendors. However, the current practice relies on manually configured rules specific to a certain microservice system, resulting in labor-intensity and flexibility issues, given the large scale and high dynamics of microservices. A more labor-efficient and versatile solution is desired. Our insight is that resilient deployment can effectivel…

This https://arxiv.org/abs/2306.06112 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems
More and more edge devices and mobile apps are leveraging deep learning (DL) capabilities. Deploying such models on devices -- referred to as on-device models -- rather than as remote cloud-hosted services, has gained popularity because it avoids transmitting user data off of the device and achieves high response time. However, on-device models can be easily attacked, as they can be accessed by unpacking corresponding apps and the model is fully exposed to attackers. Recent studies show that at…

Federated Learning for Iot/Edge/Fog Computing Systems
Balqees Talal Hasan, Ali Kadhum Idrees
https://arxiv.org/abs/2402.13029 https://

Federated Learning for Iot/Edge/Fog Computing Systems
With the help of a new architecture called Edge/Fog (E/F) computing, cloud computing services can now be extended nearer to data generator devices. E/F computing in combination with Deep Learning (DL) is a promisedtechnique that is vastly applied in numerous fields. To train their models, data producers in conventional DL architectures with E/F computing enable them to repeatedly transmit and communicate data with third-party servers, like Edge/Fog or cloud servers. Due to the extensive bandwid…

Federated Learning for Iot/Edge/Fog Computing Systems
Balqees Talal Hasan, Ali Kadhum Idrees
https://arxiv.org/abs/2402.13029 https://

Federated Learning for Iot/Edge/Fog Computing Systems
With the help of a new architecture called Edge/Fog (E/F) computing, cloud computing services can now be extended nearer to data generator devices. E/F computing in combination with Deep Learning (DL) is a promisedtechnique that is vastly applied in numerous fields. To train their models, data producers in conventional DL architectures with E/F computing enable them to repeatedly transmit and communicate data with third-party servers, like Edge/Fog or cloud servers. Due to the extensive bandwid…

FileDES: A Secure Scalable and Succinct Decentralized Encrypted Storage Network
Minghui Xu, Jiahao Zhang, Hechuan Guo, Xiuzhen Cheng, Dongxiao Yu, Qin Hu, Yijun Li, Yipu Wu
https://arxiv.org/abs/2403.14985

FileDES: A Secure Scalable and Succinct Decentralized Encrypted Storage Network
Decentralized Storage Network (DSN) is an emerging technology that challenges traditional cloud-based storage systems by consolidating storage capacities from independent providers and coordinating to provide decentralized storage and retrieval services. However, current DSNs face several challenges associated with data privacy and efficiency of the proof systems. To address these issues, we propose FileDES (\uline{D}ecentralized \uline{E}ncrypted \uline{S}torage), which incorporates three esse…

DeepVM: Integrating Spot and On-Demand VMs for Cost-Efficient Deep Learning Clusters in the Cloud
Yoochan Kim, Kihyun Kim, Yonghyeon Cho, Jinwoo Kim, Awais Khan, Ki-Dong Kang, Baik-Song An, Myung-Hoon Cha, Hong-Yeon Kim, Youngjae Kim
https://arxiv.org/abs/2403.05861

DeepVM: Integrating Spot and On-Demand VMs for Cost-Efficient Deep Learning Clusters in the Cloud
Distributed Deep Learning (DDL), as a paradigm, dictates the use of GPU-based clusters as the optimal infrastructure for training large-scale Deep Neural Networks (DNNs). However, the high cost of such resources makes them inaccessible to many users. Public cloud services, particularly Spot Virtual Machines (VMs), offer a cost-effective alternative, but their unpredictable availability poses a significant challenge to the crucial checkpointing process in DDL. To address this, we introduce DeepV…

Enc2DB: A Hybrid and Adaptive Encrypted Query Processing Framework
Hui Li, Jingwen Shi, Qi Tian, Zheng Li, Yan Fu, Bingqing Shen, Yaofeng Tu
https://arxiv.org/abs/2404.06819

Enc2DB: A Hybrid and Adaptive Encrypted Query Processing Framework
As cloud computing gains traction, data owners are outsourcing their data to cloud service providers (CSPs) for Database Service (DBaaS), bringing in a deviation of data ownership and usage, and intensifying privacy concerns, especially with potential breaches by hackers or CSP insiders. To address that, encrypted database services propose encrypting every tuple and query statement before submitting to the CSP, ensuring data confidentiality when the CSP is honest-but-curious, or even compromise…

Scalable Software as a Service Architecture
Ardy Dedase
https://arxiv.org/abs/2403.05377 https://arxiv.org/pdf/2403.05377

Scalable Software as a Service Architecture
This paper explores the architecture of Software as a Service (SaaS) platforms, emphasizing scalability and maintainability. SaaS, a flexible software distribution model suitable for individuals and organizations, has become prevalent with the advent of Cloud services. This paper aims to provide a high-level design reference for establishing a scalable and maintainable SaaS architecture.

This https://arxiv.org/abs/2403.05861 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

DeepVM: Integrating Spot and On-Demand VMs for Cost-Efficient Deep Learning Clusters in the Cloud
Distributed Deep Learning (DDL), as a paradigm, dictates the use of GPU-based clusters as the optimal infrastructure for training large-scale Deep Neural Networks (DNNs). However, the high cost of such resources makes them inaccessible to many users. Public cloud services, particularly Spot Virtual Machines (VMs), offer a cost-effective alternative, but their unpredictable availability poses a significant challenge to the crucial checkpointing process in DDL. To address this, we introduce DeepV…

Multitier Service Migration Framework Based on Mobility Prediction in Mobile Edge Computing
Run Yang, Hui He, Weizhe Zhang
https://arxiv.org/abs/2402.13529

Multitier Service Migration Framework Based on Mobility Prediction in Mobile Edge Computing
Mobile edge computing (MEC) pushes computing resources to the edge of the network and distributes them at the edge of the mobile network. Offloading computing tasks to the edge instead of the cloud can reduce computing latency and backhaul load simultaneously. However, new challenges incurred by user mobility and limited coverage of MEC server service arise. Services should be dynamically migrated between multiple MEC servers to maintain service performance due to user movement. Tackling this p…

Cybersecurity in the Quantum Era: Assessing the Impact of Quantum Computing on Infrastructure
Yaser Baseri, Vikas Chouhan, Ali Ghorbani
https://arxiv.org/abs/2404.10659

Cybersecurity in the Quantum Era: Assessing the Impact of Quantum Computing on Infrastructure
The emergence of quantum computing presents a double-edged sword for cybersecurity. While its immense power holds promise for advancements in various fields, it also threatens to crack the foundation of current encryption methods. This analysis explores the impact of quantum computing on critical infrastructure and cloud services, meticulously evaluating potential vulnerabilities across various layers, including applications, data, runtime, middleware, operating systems, virtualization, hardwar…

Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference
Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari
https://arxiv.org/abs/2403.12900

Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference
The rapid advancement of Generative Artificial Intelligence (GenAI) across diverse sectors raises significant environmental concerns, notably the carbon emissions from their cloud and high performance computing (HPC) infrastructure. This paper presents Sprout, an innovative framework designed to address these concerns by reducing the carbon footprint of generative Large Language Model (LLM) inference services. Sprout leverages the innovative concept of "generation directives" to guide the autor…

IoTSim-Osmosis-RES: Towards autonomic renewable energy-aware osmotic computing
Tomasz Szydlo, Amadeusz Szabala, Nazar Kordiumov, Konrad Siuzdak, Lukasz Wolski, Khaled Alwasel, Fawzy Habeeb, Rajiv Ranjan
https://arxiv.org/abs/2404.11481

IoTSim-Osmosis-RES: Towards autonomic renewable energy-aware osmotic computing
Internet of Things systems exists in various areas of our everyday life. For example, sensors installed in smart cities and homes are processed in edge and cloud computing centres providing several benefits that improve our lives. The place of data processing is related to the required system response times -- processing data closer to its source results in a shorter system response time. The Osmotic Computing concept enables flexible deployment of data processing services and their possible mo…

Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks
Khondoker Murad Hossain, Tim Oates
https://arxiv.org/abs/2403.08208

Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks
In the rapidly evolving landscape of communication and network security, the increasing reliance on deep neural networks (DNNs) and cloud services for data processing presents a significant vulnerability: the potential for backdoors that can be exploited by malicious actors. Our approach leverages advanced tensor decomposition algorithms Independent Vector Analysis (IVA), Multiset Canonical Correlation Analysis (MCCA), and Parallel Factor Analysis (PARAFAC2) to meticulously analyze the weights …

A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism
Zhiyu Chen, Yu Li, Suochao Zhang, Jingbo Zhou, Jiwen Zhou, Chenfu Bao, Dianhai Yu
https://arxiv.org/abs/2403.07283

A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism
As Large Language Models (LLMs) gain great success in real-world applications, an increasing number of users are seeking to develop and deploy their customized LLMs through cloud services. Nonetheless, in some specific domains, there are still concerns regarding cost and trade-offs between privacy issues and accuracy. In this study, we introduce a cost-effective and self-adaptive LLM shaking tuning and recovery mechanism, named CypherTalk. With carefully designed horizontal and vertical shaking…

Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks
Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han
https://arxiv.org/abs/2403.05826

Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks
Space-air-ground integrated networks (SAGINs) enable worldwide network coverage beyond geographical limitations for users to access ubiquitous intelligence services. {\color{black}Facing global coverage and complex environments in SAGINs, edge intelligence can provision AI agents based on large language models (LLMs) for users via edge servers at ground base stations (BSs) or cloud data centers relayed by satellites.} As LLMs with billions of parameters are pre-trained on vast datasets, LLM age…