Tootfinder

15 Jahre OpenStack: Wie ein Mars-Satellit das Rechenzentrum revolutionierte
In den vergangenen 15 Jahren ist das Cloud-Computing-Projekt stetig gewachsen. Wo liegt sein Ursprung und ist OpenStack in Zeiten von Kubernetes noch relevant?
🌐 https://www.

15 Jahre OpenStack: Wie ein Mars-Satellit das Rechenzentrum revolutionierte
In den vergangenen 15 Jahren ist das Cloud-Computing-Projekt stetig gewachsen. Wo liegt sein Ursprung und ist OpenStack in Zeiten von Kubernetes noch relevant?

Sources: Anthropic is in discussions with Google about a deal that would provide Anthropic with computing power valued in the high tens of billions of dollars (Bloomberg)
https://www.bloomberg.com/news/articles/2025-10-21/anth…

It's pretty ironic that part of the promise of cloud computing & CDNs was some form of geographical decentralization of resources, only then to end up with seemingly half the internet involving us-east-1 alone...
#AWS #Outage

Even as much of the internet is inaccessible right now, Metacurity appears unaffected. So check out today's issue for the most critical infosec developments you should know, including
--CISA says it will rebuild with more staff in 2026 to rectify cuts in 2025,
--Microsoft’s Azure cloud computing service was hit with 15.7 Tbps DDoS attack,
--Russian telecom Protei was hacked and site defaced,
--Companies warn of inflexibility if UK bans ransom payments,
--A cr…

CISA says it will rebuild with more staff in 2026 to redress cuts in 2025
Microsoft’s Azure cloud computing service was hit with 15.7 Tbps DDoS attack, Russian telecom Protei was hacked and site defaced, Companies warn of inflexibility if UK bans ransom payments, A crew of companies reject efforts to weaken encryption, 460k FTSE compromised credentials found, much more

Na - was ist schon wieder down? Richtig.
"Amazon Web Services has now issued a further update, stating in a post at 10.29 a.m. ET that it is once again experiencing network connectivity issues in the US. "
10.29 a.m. ET == 16:29 CEST
https://cnn.it/4qlp9pk

Proactive and Reactive Autoscaling Techniques for Edge Computing
Suhrid Gupta, Muhammed Tawfiqul Islam, Rajkumar Buyya
https://arxiv.org/abs/2510.10166 https://

Proactive and Reactive Autoscaling Techniques for Edge Computing
Edge computing allows for the decentralization of computing resources. This decentralization is achieved through implementing microservice architectures, which require low latencies to meet stringent service level agreements (SLA) such as performance, reliability, and availability metrics. While cloud computing offers the large data storage and computation resources necessary to handle peak demands, a hybrid cloud and edge environment is required to ensure SLA compliance. Several auto-scaling a…

SAP has listened to customers on cloud migration, but it could still be clearer on communicating the 'why', and it should use some apps as loss-leaders, says UK and Ireland SAP User Group chair Conor Riordan.
https://www.computing.co.uk/interview/2025

SAP should offer some apps for free, says user group head
SAP has listened to customers on cloud migration, but it could still be clearer on communicating the 'why', and it should use some apps as loss-leaders, says UK and Ireland SAP User Group chair Conor Riordan.

To my mind the following article suggests that the present day "AI" approach is very wrong.
Why? Because biological RI (Real Intelligence) out performs CI (Computer Intelligence) by orders of magnitude on many dimensions: power required (perhaps 20 to 50 watts for the human brain), weight, size, cooling, and ability to innovate in new ways.
Our present digital computer approach to intelligence seems about as apt as trying to power passenger airplanes using onboard coal…

OpenAI Signs $38 Billion Cloud Computing Deal With Amazon
After signing agreements to use computing power from Nvidia, AMD and Oracle, OpenAI is partnering with the world’s largest cloud computing company.

TCDRM: A Tenant Budget-Aware Data Replication Framework for Multi-Cloud Computing
Santatra Hagamalala Bernardin (IRIT-PYRAMIDE, IRIT), Riad Mokadem (IRIT-PYRAMIDE, IRIT), Franck Morvan (IRIT-PYRAMIDE, IRIT), Hasinarivo Ramanana, Hasimandimby Rakotoarivelo
https://arxiv.org/abs/2510.07833

TCDRM: A Tenant Budget-Aware Data Replication Framework for Multi-Cloud Computing
Multi-cloud computing systems face significant challenges in ensuring acceptable performance while adhering to tenant budget requirements. This paper proposes a tenant budget-aware (tenant-centric) data replication framework for Multi-Cloud Computing (TCDRM). The proposed strategy dynamically creates data replicas based on predefined thresholds for response time, economic budget of the tenant and data popularity. TCDRM employs a heuristic replica placement algorithm that leverages the diverse p…

The Data Enclave Advantage: A New Paradigm for Least-Privileged Data Access in a Zero-Trust World
Nico Bistolfi, Andreea Georgescu, Dave Hodson
https://arxiv.org/abs/2510.09494 …

The Data Enclave Advantage: A New Paradigm for Least-Privileged Data Access in a Zero-Trust World
As cloud infrastructure evolves to support dynamic and distributed workflows, accelerated now by AI-driven processes, the outdated model of standing permissions has become a critical vulnerability. Based on the Cloud Security Alliance (CSA) Top Threats to Cloud Computing Deep Dive 2025 Report, our analysis details how standing permissions cause catastrophic cloud breaches. While current security tools are addressing network and API security, the challenge of securing granular data access remain…

South Korea's KT Corp. launches a sovereign cloud for Korean enterprises built on Azure, with encrypted in-memory computing and strict local data governance (Jie Ye-eun/The Korea Herald)
https://www.koreaherald.com/article/10614445

KT rolls out sovereign public cloud with Microsoft - The Korea Herald
KT Corp. on Wednesday announced the launch of its public cloud service, developed in partnership with Microsoft, in a strategic bid to bolster its foothold in K

An efficient grey theory-driven path selection for energy efficiency control in the Internet of Things using fog and cloud computing
Mohammad Reza Akbari, Hamid Barati, Ali Barati
https://arxiv.org/abs/2510.03533

An efficient grey theory-driven path selection for energy efficiency control in the Internet of Things using fog and cloud computing
Due to the big data exchange on the Internet of Things, proper routing and selecting the best routes for fast data transmission improve network performance. There are major challenges, like high delay, when cloud computing is used. Therefore, one solution is to use other schemes, such as fog computing. In fog computing, all data is not sent to the cloud and the fog nodes close to objects are used for data processing. This reduces the network delay. In this paper, we propose an overlapping clust…

Dynamic Function Configuration and its Management in Serverless Computing: A Taxonomy and Future Directions
Siddharth Agarwal, Maria A. Rodriguez, Rajkumar Buyya
https://arxiv.org/abs/2510.02404

Dynamic Function Configuration and its Management in Serverless Computing: A Taxonomy and Future Directions
The serverless cloud computing model offers a framework where the service provider abstracts the underlying infrastructure management from developers. In this serverless model, FaaS provides an event-driven, function-oriented computing service characterised by fine-grained, usage-based pricing that eliminates cost for idle resources. Platforms like AWS Lambda, Azure Functions, and Cloud Run Functions require developers to configure their function(s) with minimum operational resources for its su…

Laut #Handelsblatt setzen 82 % der Unternehmen auf kostenpflichtige Cloud-Services – oft aus reiner Bequemlichkeit. Die Abhängigkeit wächst, die Datensouveränität schrumpft. Man kauft Komfort, bezahlt aber mit Kontrolle. Cloud-first klingt smart – bis die Rechnung wirklich kommt.
#CloudComputing

YouTube launches an option for US-based creators to receive payouts in PayPal's stablecoin, PYUSD (Ben Weiss/Fortune)
https://fortune.com/2025/12/11/youtube-paypal-google-stablecoin-payouts-pyusd/

Exclusive: YouTube launches option for U.S. creators to receive stablecoin payouts through PayPal
Google, which owns YouTube, has already used PayPal’s stablecoin to receive payments from customers using its cloud computing service.

REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud-Edge Continuum
Xu Bai, Muhammed Tawfiqul Islam, Rajkumar Buyya, Adel N. Toosi
https://arxiv.org/abs/2510.06675

REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud-Edge Continuum
Cloud computing, despite its advantages in scalability, may not always fully satisfy the low-latency demands of emerging latency-sensitive pervasive applications. The cloud-edge continuum addresses this by integrating the responsiveness of edge resources with cloud scalability. Microservice Architecture (MSA) characterized by modular, loosely coupled services, aligns effectively with this continuum. However, the heterogeneous and dynamic computing resource poses significant challenges to the op…

Tigris, which is building a network of localized data storage centers that it claims can meet the compute needs of AI workloads, raised a $25M Series A (Rebecca Bellan/TechCrunch)
https://techcrunch.com/2025/10/09/this-distributed-data-stor…

This distributed data storage startup wants to take on Big Cloud | TechCrunch
Tigris has raised $25 million to expand its growing network of localized data storage centers — the storage layer for decentralized computing infrastructure.

A trio of 🔥novel physical attacks raises new questions about the true security offered by "Trusted execution environments", or TEEs
TEEs are everywhere
—in blockchain architectures, virtually every cloud service, and computing involving AI, finance, and defense contractors.
It’s hard to overstate the reliance that entire industries have on three TEEs in particular:
💥Confidential Compute from Nvidia,
💥SEV-SNP from AMD,
and
💥SGX and TDX from …

New physical attacks are quickly diluting secure enclave defenses from Nvidia, AMD, and Intel
On-chip TEEs withstand rooted OSes but fall instantly to cheap physical attacks.

»Akamai kauft WebAssembly-Spezialisten Fermyon:
Der Cloud- und Cybersecurity-Anbieter Akamai Technologies will mit der Akquisition des Serverless-Spezialisten Fermyon seine Edge-Computing-Strategie ausbauen. Im Fokus steht die WebAssembly-basierte Function-as-a-Service-Technologie.«
Schon länger ist WebAssembly (@…) im Aufwind, nun aber auch umf…

Akamai kauft WebAssembly-Spezialisten Fermyon
Akamai Technologies will mit der Akquisition des Serverless-Spezialisten Fermyon seine Edge-Computing-Strategie ausbauen.

One one side i'd rather have those large corporations spend their money in the economy instead of holding cash in the bank account of their billionnaire owners.
On the other hand, it's hard to think there is anything sustainable to the amount of money spent on AI right now.
Screenshot from Bloomberg this morning
#FAANG

Plugging Leaks in Fault-Tolerant Quantum Computation and Verification
Theodoros Kapourniotis, Dominik Leichtle, Luka Music, Harold Ollivier
https://arxiv.org/abs/2510.03227 http…

Plugging Leaks in Fault-Tolerant Quantum Computation and Verification
With the advent of quantum cloud computing, the security of delegated quantum computation has become of utmost importance. While multiple statistically secure blind verification schemes in the prepare-and-send model have been proposed, none of them achieves full quantum fault-tolerance, a prerequisite for useful verification on scalable quantum computers. In this paper, we present the first fault-tolerant blind verification scheme for universal quantum computations able to handle secret-depende…

Comparative Performance Analysis of Modern NoSQL Data Technologies: Redis, Aerospike, and Dragonfly
Deep Bodra, Sushil Khairnar
https://arxiv.org/abs/2510.08863 https://

Comparative Performance Analysis of Modern NoSQL Data Technologies: Redis, Aerospike, and Dragonfly
The rise of distributed applications and cloud computing has created a demand for scalable, high-performance key-value storage systems. This paper presents a performance evaluation of three prominent NoSQL key-value stores: Redis, Aerospike, and Dragonfly, using the Yahoo! Cloud Serving Benchmark (YCSB) framework. We conducted extensive experiments across three distinct workload patterns (read-heavy, write-heavy), and balanced while systematically varying client concurrency from 1 to 32 clients…

Towards Energy-Efficient Serverless Computing with Hardware Isolation
Natalie Carl, Tobias Pfandzelter, David Bermbach
https://arxiv.org/abs/2510.08180 https://

Towards Energy-Efficient Serverless Computing with Hardware Isolation
Serverless computing provides just-in-time infrastructure provisioning with rapid elasticity and a finely-grained pricing model. As full control of resource allocation is in the hands of the cloud provider and applications only consume resources when they actually perform work, we believe that serverless computing is uniquely positioned to maximize energy efficiency. However, the focus of current serverless platforms is to run hundreds or thousands of serverless functions from different tenan…

Satya Nadella says Microsoft plans to spend $17.5B on AI and cloud computing in India over four years, its largest ever Asia investment, after meeting with Modi (Saritha Rai/Bloomberg)
https://www.bloomberg.com/news/articles/20

That‘s a lot of money for a company which looses money each time a customer uses their product …
#OpenAI Needs At Least $207 Billion By 2030 Just To Keep Losing Money, HSBC Estimates - Slashdot

A Management Framework for Vehicular Cloudtoward Economic and Environmental Efficiency
Rosario Patan\`e, Andrea Araldo, Nadjib Achir, Lila Boukhatem
https://arxiv.org/abs/2509.24946

A Management Framework for Vehicular Cloudtoward Economic and Environmental Efficiency
Vehicular Cloud Computing (VCC) leverages the idle computing capacity of vehicles to execute end-users' offloaded tasks without requiring new computation infrastructure. Despite its conceptual appeal, VCC adoption is hindered by the lack of quantitative evidence demonstrating its profitability and environmental advantages in real-world scenarios. This paper tackles the fundamental question: Can VCC be both profitable and sustainable? We address this problem by proposing a management scheme for …

Is it#DNS?
Microsoft Azure outage: Heathrow, Xbox and Minecraft among sites down
https://www.bbc.co.uk/news/articles/c3rj45n4x5eo

Microsoft Azure outage: Websites come back online
Microsoft 365 and its Azure cloud computing platform were hit with DNS issues, similar to the recent AWS outage.

The Flood Complex: Large-Scale Persistent Homology on Millions of Points
Florian Graf, Paolo Pellizzoni, Martin Uray, Stefan Huber, Roland Kwitt
https://arxiv.org/abs/2509.22432

The Flood Complex: Large-Scale Persistent Homology on Millions of Points
We consider the problem of computing persistent homology (PH) for large-scale Euclidean point cloud data, aimed at downstream machine learning tasks, where the exponential growth of the most widely-used Vietoris-Rips complex imposes serious computational limitations. Although more scalable alternatives such as the Alpha complex or sparse Rips approximations exist, they often still result in a prohibitively large number of simplices. This poses challenges in the complex construction and in the s…

Governed By Agents: A Survey On The Role Of Agentic AI In Future Computing Environments
Nauman Ali Murad, Safia Baloch
https://arxiv.org/abs/2509.16676 https://

Governed By Agents: A Survey On The Role Of Agentic AI In Future Computing Environments
The emergence of agentic Artificial Intelligence (AI), which can operate autonomously, demonstrate goal-directed behavior, and adaptively learn, indicates the onset of a massive change in today's computing infrastructure. This study investigates how agentic AI models' multiple characteristics may impact the architecture, governance, and operation under which computing environments function. Agentic AI has the potential to reduce reliance on extremely large (public) cloud environments due to res…

A distributed routing protocol for sending data from things to the cloud leveraging fog technology in the large-scale IoT ecosystem
Mohammad Reza Akbari, Hamid Barati, Ali Barati
https://arxiv.org/abs/2510.03524

A distributed routing protocol for sending data from things to the cloud leveraging fog technology in the large-scale IoT ecosystem
Fog computing integrates cloud and edge resources. According to an intelligent and decentralized method, this technology processes data generated by IoT sensors to seamlessly integrate physical and cyber environments. Internet of Things uses wireless and smart objects. They communicate with each other, monitor the environment, collect information, and respond to user requests. These objects have limited energy resources since they use batteries to supply energy. Also, they cannot replace their …

Metronome: Efficient Scheduling for Periodic Traffic Jobs with Network and Priority Awareness
Hao Jiang, Meng Qin, Ruijie Kuai, Dandan Liang
https://arxiv.org/abs/2510.12274 htt…

Metronome: Efficient Scheduling for Periodic Traffic Jobs with Network and Priority Awareness
With the rapid growth in computing power demand, cloud native networks have emerged as a promising solution to address the challenges of efficient resource coordination, particularly in coping with the dynamic fluctuations of network bandwidth in clusters. We propose Metronome, a network-aware and priority-aware scheduling mechanism for cloud native networks. This mechanism is designed to support jobs that exhibit periodic traffic patterns and dynamic bandwidth demands, particularly in the cont…

YouTube launches an option for US-based creators to receive payouts in PayPal's stablecoin, PYUSD (Ben Weiss/Fortune)
https://fortune.com/2025/12/11/youtube-paypal-google-stablecoin-payouts-pyusd/

Exclusive: YouTube launches option for U.S. creators to receive stablecoin payouts through PayPal
Google, which owns YouTube, has already used PayPal’s stablecoin to receive payments from customers using its cloud computing service.

DarwinGame: Playing Tournaments for Tuning Applications in Noisy Cloud Environments
Rohan Basu Roy, Vijay Gadepally, Devesh Tiwari
https://arxiv.org/abs/2509.25090 https://

DarwinGame: Playing Tournaments for Tuning Applications in Noisy Cloud Environments
This work introduces a new subarea of performance tuning -- performance tuning in a shared interference-prone computing environment. We demonstrate that existing tuners are significantly suboptimal by design because of their inability to account for interference during tuning. Our solution, DarwinGame, employs a tournament-based design to systematically compare application executions with different tunable parameter configurations, enabling it to identify the relative performance of different t…

Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
Adhitya Bhawiyuga, Serkan Girgin, Rolf A. de By, Raul Zurita-Milla
https://arxiv.org/abs/2510.02882

Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
Earth observation (EO) data volumes are rapidly increasing. While cloud computing are now used for processing large EO datasets, the energy efficiency aspects of such a processing have received much less attention. This issue is notable given the increasing awareness of energy costs and carbon footprint in big data processing, particularly with increased attention on compute-intensive foundation models. In this paper we identify gaps in energy efficiency practices within cloud-based EO big data…

Enhancing CTAO Monitoring and Alarm Subsystems in Distributed Environments Using ServiMon
Kevin Munari, Alessandro Costa, Federico Incardona, Emilio Mastriani, Sebastiano Spinello, Stefano Germani, Pietro Bruno
https://arxiv.org/abs/2509.16366

Enhancing CTAO Monitoring and Alarm Subsystems in Distributed Environments Using ServiMon
ServiMon is a scalable data collection and auditing pipeline designed for service-oriented, cost-efficient quality control in distributed environments, including the CTAO monitoring, logging, and alarm subsystems. Developed within a Docker-based architecture, it leverages cloud-native technologies and distributed computing principles to enhance system observability and reliability. At its core, ServiMon integrates key technologies such as Prometheus, Grafana, Kafka, and Cassandra. Prometheus se…

Source: Google is in early talks to deepen its strategic investment in Anthropic that could value the AI company at more than $350B (Ben Bergman/Business Insider)
https://www.businessinsider.com/google-deepen-investment-in-ai-anthropic-2025-11

Google is in early discussions to deepen its investment in Anthropic
Google is in early discussions to deepen its investment in Anthropic. The two companies announced a massive cloud computing deal in October.

Intelligent Load Balancing in Cloud Computer Systems
Leszek Sliwko
https://arxiv.org/abs/2509.22704 https://arxiv.org/pdf/2509.22704

Intelligent Load Balancing in Cloud Computer Systems
Cloud computing is an established technology allowing users to share resources on a large scale, never before seen in IT history. A cloud system connects multiple individual servers in order to process related tasks in several environments at the same time. Clouds are typically more cost-effective than single computers of comparable computing performance. The sheer physical size of the system itself means that thousands of machines may be involved. The focus of this research was to design a str…

Crosslisted article(s) found for cs.DC. https://arxiv.org/list/cs.DC/new
[1/1]:
- A Semantic Model for Audit of Cloud Engines based on ISO/IEC TR 3445:2022
Morteza Sargolzaei Javan

Oracle will pay for and oversee the construction of three of the new Stargate data centers, and OpenAI will then purchase computing power from Oracle (Cade Metz/New York Times)
https://www.nytimes.com/2025/09/23/technology/openai-data-centers-united-state…

OpenAI to Join Tech Giants in Building 5 New Data Centers in U.S.
Working with the Japanese conglomerate SoftBank and the cloud company Oracle, the A.I. start-up will spend $400 billion over the next five years.

Confidential LLM Inference: Performance and Cost Across CPU and GPU TEEs
Marcin Chrapek, Marcin Copik, Etienne Mettaz, Torsten Hoefler
https://arxiv.org/abs/2509.18886 https://

Replaced article(s) found for cs.DC. https://arxiv.org/list/cs.DC/new
[1/1]:
- Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Ku...
Ying Mao, Yuqi Fu, Suwen Gu, Wenrui Mu, Long Cheng, Qingzhi Liu

Artificial Intelligence for Cost-Aware Resource Prediction in Big Data Pipelines
Harshit Goyal
https://arxiv.org/abs/2510.05127 https://arxiv.org/pdf/2510.…

Artificial Intelligence for Cost-Aware Resource Prediction in Big Data Pipelines
Efficient resource allocation is a key challenge in modern cloud computing. Over-provisioning leads to unnecessary costs, while under-provisioning risks performance degradation and SLA violations. This work presents an artificial intelligence approach to predict resource utilization in big data pipelines using Random Forest regression. We preprocess the Google Borg cluster traces to clean, transform, and extract relevant features (CPU, memory, usage distributions). The model achieves high predi…

Percepta: High Performance Stream Processing at the Edge
Clarisse Sousa, Tiago Fonseca, Luis Lino Ferreira, Ricardo Ven\^ancio, Ricardo Severino
https://arxiv.org/abs/2510.05149

Percepta: High Performance Stream Processing at the Edge
The rise of real-time data and the proliferation of Internet of Things (IoT) devices have highlighted the limitations of cloud-centric solutions, particularly regarding latency, bandwidth, and privacy. These challenges have driven the growth of Edge Computing. Associated with IoT appears a set of other problems, like: data rate harmonization between multiple sources, protocol conversion, handling the loss of data and the integration with Artificial Intelligence (AI) models. This paper presents …

The AI_INFN Platform: Artificial Intelligence Development in the Cloud
Lucio Anderlini, Giulio Bianchini, Diego Ciangottini, Stefano Dal Pra, Diego Michelotto, Rosa Petrini, Daniele Spiga
https://arxiv.org/abs/2509.22117

The AI_INFN Platform: Artificial Intelligence Development in the Cloud
Machine Learning (ML) is driving a revolution in the way scientists design, develop, and deploy data-intensive software. However, the adoption of ML presents new challenges for the computing infrastructure, particularly in terms of provisioning and orchestrating access to hardware accelerators for development, testing, and production. The INFN-funded project AI_INFN (Artificial Intelligence at INFN) aims at fostering the adoption of ML techniques within INFN use cases by providing support on mu…

Experience Deploying Containerized GenAI Services at an HPC Center
Angel M. Beltre, Jeff Ogden, Kevin Pedretti
https://arxiv.org/abs/2509.20603 https://arx…

Experience Deploying Containerized GenAI Services at an HPC Center
Generative Artificial Intelligence (GenAI) applications are built from specialized components -- inference servers, object storage, vector and graph databases, and user interfaces -- interconnected via web-based APIs. While these components are often containerized and deployed in cloud environments, such capabilities are still emerging at High-Performance Computing (HPC) centers. In this paper, we share our experience deploying GenAI workloads within an established HPC center, discussing the in…

XaaS Containers: Performance-Portable Representation With Source and IR Containers
Marcin Copik, Eiman Alnuaimi, Alok Kamatar, Valerie Hayot-Sasson, Alberto Madonna, Todd Gamblin, Kyle Chard, Ian Foster, Torsten Hoefler
https://arxiv.org/abs/2509.17914

XaaS Containers: Performance-Portable Representation With Source and IR Containers
High-performance computing (HPC) systems and cloud data centers are converging, and containers are becoming the default method of portable software deployment. Yet, while containers simplify software management, they face significant performance challenges in HPC environments as they must sacrifice hardware-specific optimizations to achieve portability. Although HPC containers can use runtime hooks to access optimized MPI libraries and GPU devices, they are limited by application binary interfa…