Energy-Efficient Resource Provisioning Using Adaptive Harmony Search Algorithm for Compute-Intensive Workloads with Load Balancing in Datacenters

Energy-Efficient Resource Provisioning Using Adaptive Harmony Search Algorithm for Compute-Intensive Workloads with Load Balancing in Datacenters

Drastic variations in high-performance computing workloads lead to the commencement of large number of datacenters. To revolutionize themselves as green datacenters, these data centers are assured to reduce their energy consumption without compromising the performance. The energy consumption of the...

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Bibliographic Details
Main Authors: T. Renugadevi, K. Geetha, K. Muthukumar, Zong Woo Geem
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Applied Sciences
Subjects:
Harmony Search Algorithm
Task Distribution
Energy Efficiency
Virtual Machine Placement
Cloud Datacenters
Online Access:https://www.mdpi.com/2076-3417/10/7/2323

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