Optimizing Cloud Service Composition with Cuckoo Optimization Algorithm for Enhanced Resource Allocation and Energy Efficiency

The composition of cloud services plays a vital role in optimizing resource allocation, load balancing, task scheduling, and energy management. However, it remains a significant challenge due to the dynamic nature of workloads and the variability in resource demands, where addressing these challenge...

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Hlavní autoři:	Issam AlHadid, Evon Abu-Taieh, Mohammad Al Rawajbeh, Suha Afaneh, Mohammed E. Daghbosheh, Rami S. Alkhawaldeh, Sufian Khwaldeh, Ala’aldin Alrowwad
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-11-01
Edice:	Future Internet
Témata:	cloud computing Cuckoo Optimization Algorithm Particle Swarm Optimization Ant Colony Optimization CloudSim services composition
On-line přístup:	https://www.mdpi.com/1999-5903/17/11/526
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