Abstract: Load balancing is a critical aspect of optimizing resource utilization and performance in cloud computing environments. This paper begins by introducing the fundamental concepts of load ...
Discover the leading mobile application testing tools for DevOps teams in 2025, aimed at enhancing performance, stability, and agile release cycles for businesses worldwide.
The team behind decentralized finance (DeFi) protocol Balancer published a preliminary post-mortem report on Wednesday, detailing the cause of the exploit that siphoned $116 million across DeFi ...
Balancer suffered a reported exploit resulting in losses of over $128.6 million. Initial stolen assets include 6,587 WETH, 6,851 osETH, and 4,260 wstETH. The incident marks another major breach for ...
The Cardio Load calculation is a metric the Fitbit app uses to suggest how much Pixel Watch and Fitbit users should exercise, but it can be hard to understand. It's also recently been updated for the ...
Abstract: Load balancers are critical infrastructure in modern distributed systems, and their main function is to evenly distribute client traffic to multiple servers for high availability and ...
This project simulates a Round Robin load balancer in Python using Flask, distributing incoming requests to 6 backend servers. Each server is a standalone Flask app, and a central load balancer (also ...
Buried inside the news from the VMware Explore event were a series of security related updates. The big headline was the expansion of security for AI, but there is more to the story. A core element of ...
Built on eBPF technology, the Isovalent Load Balancer is designed to run in any environment, from servers and virtual machines in the data center, to the public cloud, to Kubernetes containers. Since ...
Things have never been easy for Metallica’s 1996 album Load, a multiplatinum record nobody ever admits to liking, especially the band’s most avid fans. In early 1995, Metallica had a “good problem”: ...
router for data-driven, workload-aware scheduling. Our router distributes queries across LLM instances by using a trainable responselength predictor and a novel formulation for estimating the impact ...