Tootfinder

Lock Prediction for Zero-Downtime Database Encryption
Mohamed Sami Rakha, Adam Sorrenti, Greg Stager, Walid Rjaibi, Andriy Miranskyy
https://arxiv.org/abs/2506.23985

Lock Prediction for Zero-Downtime Database Encryption
Modern enterprise database systems face significant challenges in balancing data security and performance. Ensuring robust encryption for sensitive information is critical for systems' compliance with security standards. Although holistic database encryption provides strong protection, existing database systems often require a complete backup and restore cycle, resulting in prolonged downtime and increased storage usage. This makes it difficult to implement online encryption techniques in high-…

Dynamic Software Updating in Java - Comparing Concepts and Resource Demands
Danijel Mlinaric, Vedran Mornar
https://arxiv.org/abs/2506.01875 https://

Dynamic Software Updating in Java - Comparing Concepts and Resource Demands
Dynamic software updating (DSU) is an extremely useful feature to be used during the software evolution. It can be used to reduce downtime costs, for security enhancements, profiling and testing the new functionalities. There are many researches and solutions on dynamic software updating regarding diverse problems introduced by the topic, but there is a lack of research which compare various approaches concerning supported changes and demands on re-sources. In this paper we are comparing curren…

🚚 Move your #Azure resources across subscriptions or resource groups—without downtime!
Use CLI, PowerShell, Python, or REST API to stay flexible and in control. ⚙️📦 Just update those resource IDs! #CloudManagement
Learn more:

@… @… @… We can talk about this if you like!
I have almost zero downtime, on very sma…

Ich habe einige Sachen die ich gerne immer in Sync halte (Kalender #DevonThink einige aktuelle Projektdaten) nach der unscheduled downtime der #OvGU Cloud Anfang letzter Woche schon auf mein privates NAS verlegt. Eigentlich denke ich, das hat keine USV, ist nur mit DSL angebunden und wird von einem Amateuer gehostet, aber ehrlich gesagt ist es deutlich hochverfügbarer als die #OvGU Cloud, die von ihrer scheduled Downtime am Freitag Samstag immer noch nicht wieder da ist.

Today, we visited our lawyer to sign the documents for our sale of our current home (official closing June 20th) and for the purchase of our next house (close date June 23rd). Then, I came home and cut a half acre of lawn for the final time.
Approximately 42 hours until the movers arrive on the 19th , then they deliver on the 24th. The 4 days in between will be spent in my brother's bunkie at his cottage near our new house. So we have a bit of downtime to nap or explore.

phpc.social is now using Postgres 17.4 as its database (up from 16.8). That was easy and apparently basically downtime-free. Props to Vultr for having a cleaner upgrade experience than the last time I interacted with RDS.
#MastoAdmin

Multipathing: it makes fixing cabling issues so much easier. Swapped out the 2x2m fiber patches to the NAS with 2x5m ones because the old ones were just a smidge strained. Had absolutely no issues swapping them out one by one and no downtime.
#homelab #multipath

AI Magnetic Levitation (Maglev) Conveyor for Automated Assembly Production
Ray Wai Man Kong
https://arxiv.org/abs/2506.08039 https://…

AI Magnetic Levitation (Maglev) Conveyor for Automated Assembly Production
Efficiency, speed, and precision are essential in modern manufacturing. AI Maglev Conveyor system, combining magnetic levitation (maglev) technology with artificial intelligence (AI), revolutionizes automated production processes. This system reduces maintenance costs and downtime by eliminating friction, enhancing operational efficiency. It transports goods swiftly with minimal energy consumption, optimizing resource use and supporting sustainability. AI integration enables real-time monitorin…

Coincident Learning for Beam-based RF Station Fault Identification Using Phase Information at the SLAC Linac Coherent Light Source
Jia Liang, William Colocho, Franz-Josef Decker, Ryan Humble, Ben Morris, Finn H. O'Shea, David A. Steele, Zhe Zhang, Eric Darve, Daniel Ratner
https://arxiv.org/abs/2505.16052

Coincident Learning for Beam-based RF Station Fault Identification Using Phase Information at the SLAC Linac Coherent Light Source
Anomalies in radio-frequency (RF) stations can result in unplanned downtime and performance degradation in linear accelerators such as SLAC's Linac Coherent Light Source (LCLS). Detecting these anomalies is challenging due to the complexity of accelerator systems, high data volume, and scarcity of labeled fault data. Prior work identified faults using beam-based detection, combining RF amplitude and beam-position monitor data. Due to the simplicity of the RF amplitude data, classical methods ar…