Robotics & Machine Learning Daily News2024,Issue(Feb.14) :73-74.DOI:10.1007/s10586-023-04215-3

New Findings on Machine Learning from Department of Computer Sciences Summarized (Machine Learning-driven Energy-efficient Load Balancing for Real-time Heterogeneous Systems)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :73-74.DOI:10.1007/s10586-023-04215-3

New Findings on Machine Learning from Department of Computer Sciences Summarized (Machine Learning-driven Energy-efficient Load Balancing for Real-time Heterogeneous Systems)

扫码查看

Abstract

Current study results on Machine Learning have been published. According to news reporting out of Oran, Algeria, by NewsRx editors, research stated, “Load balancing plays a critical role in ensuring system stability and optimal performance, and as such, it has been a subject of extensive research across diverse computing domains, particularly in heterogeneous systems. Such systems integrate various computing devices with distinct architectures and computational power, each designed to execute a particular type of workload having diverse and immediate requirements.”

Key words

Oran/Algeria/Cyborgs/Emerging Technologies/Machine Learning/Department of Computer Sciences

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
被引量1
参考文献量32
段落导航相关论文