Dynamic scheduling strategies for cloud-based load balancing in parallel and distributed systems

Actual load balancing in parallel and distributed systems ruins a serious task due to workloads’ dynamic nature and resource availability. Existing scheduling procedures continually fail to regulate real-time alterations, leading to suboptimal performance and resource underutilization. Our study val...

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Veröffentlicht in:	Journal of cloud computing : advances, systems and applications Jg. 14; H. 1; S. 33 - 25
1. Verfasser:	Albalawi, Nasser S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2025 Springer Nature B.V SpringerOpen
Schlagworte:	Cloud computing Computer Communication Networks Computer networks Computer Science Computer System Implementation Computer Systems Organization and Communication Networks Distributed processing Dynamic loads Dynamic scheduling strategies Efficiency Energy consumption Genetic algorithms Information Systems Applications (incl.Internet) Least Recently Used (LRU) Least Response Time (LRT) Load balancing Optimization Parallel and distributed systemsf Performance evaluation Real time Regression analysis Resource management Resource scheduling Response time Round-Robin Allocation with Sunflower Whale Optimization (RRA-SWO) Scheduling Search algorithms Software Software Engineering/Programming and Operating Systems Special Purpose and Application-Based Systems Task scheduling Workloads Least Response Time (LRT) Dynamic scheduling strategies Parallel and distributed systemsf Load balancing Round-Robin Allocation with Sunflower Whale Optimization (RRA-SWO) Least Recently Used (LRU)
ISSN:	2192-113X, 2192-113X
Online-Zugang:	Volltext
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