Frog-Leaping Algorithm Rebalances Cloud Data Centers With Structured Virtual Machine Migration
Researchers in Tehran have developed SM-SFLA, a structured migration variant of the shuffled frog leaping algorithm that rebalances virtual machines ...
Researchers in Tehran have developed SM-SFLA, a structured migration variant of the shuffled frog leaping algorithm that rebalances virtual machines ...
A survey of 500 government accountants in Palestine and Jordan finds that ethical concerns mediate the link between four AI ...
Researchers have combined fog computing simulation with Particle Swarm Optimization to estimate how many IoT devices a Cloud-Fog system can ...
Researchers have unveiled DBRA-Net, a dual-branch residual attention network that achieves highly accurate image retrieval over encrypted cloud data while ...
A new Cluster Computing study using public Alibaba cluster traces finds that simple linear regression often matches or beats deep ...
New research from the University of East London finds that AI and big data can improve supply chains only when ...
A hybrid deep learning framework combining AlexNet and Ant Colony Optimization significantly improves routing, delay, and energy efficiency in cloud-based ...
Researchers distill lessons from NASA's ICESat-2 mission into ten rules for making publicly funded Earth observation datasets truly usable through ...
Researchers have developed an LSTM-enhanced deep reinforcement learning framework that adaptively schedules cloud workflows, delivering statistically significant improvements in makespan, ...
A new survey in Cluster Computing provides the first unified taxonomy of task scheduling and load balancing algorithms across cloud, ...
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© 2025 Scienmag - Science Magazine