Abstract: The application of virtual machines is an important part of cloud computing, and efficient load balancing plays a vital role in overall efficiency, resource utilization and even customer ...

Based on the literature synthesis and system mapping presented in Section 2.4, a set of design requirements (DRs) was derived ...

Real-time processor load visualization with color-coded bars Interactive Gantt chart showing process execution timeline Live metrics dashboard with performance statistics Algorithm comparison with ...

The shape of electricity demand is changing faster than at any point in the grid’s history. Entire loads from data centers, hydrogen electrolysers, crypto-mining farms, and AI clusters can appear ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

School of Computer Science, Rocket Force University of Engineering, Xi'an, Shaanxi, China Load imbalance is a major performance bottleneck in training mixture-of-experts (MoE) models, as unbalanced ...

For users, few things are more frustrating than encountering unavailable services or unexpected downtime. Load balancing significantly reduces these occurrences through its built-in redundancy and ...

ABSTRACT: As cloud computing continues to evolve, managing CPU resources effectively has become a critical task for ensuring system performance and efficiency. Traditional CPU resource management ...

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 ...