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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Issam AlHadid, Evon Abu-Taieh, Mohammad Al Rawajbeh, Suha Afaneh, Mohammed E. Daghbosheh, Rami S. Alkhawaldeh, Sufian Khwaldeh, Ala’aldin Alrowwad
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	MDPI AG 2025-11-01
سلاسل:	Future Internet
الموضوعات:	cloud computing Cuckoo Optimization Algorithm Particle Swarm Optimization Ant Colony Optimization CloudSim services composition
الوصول للمادة أونلاين:	https://www.mdpi.com/1999-5903/17/11/526
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!