A Novel Hybrid GAACO Algorithm for Cloud Computing using Energy Aware Load Balance Scheduling

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A, Senthil G. and Somasundaram, K. and M, Arun and Saranya, N. Naga and Prabha, R. and Babu, D. Vijendra (2022) A Novel Hybrid GAACO Algorithm for Cloud Computing using Energy Aware Load Balance Scheduling. In: UNSPECIFIED.

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Abstract

Cloud load balancing distributes workloads across servers, storage, and networks to optimize response time and throughput. Energy-aware models manage idle servers efficiently. A hybrid Genetic Algorithm and Ant Colony Optimization (GAACO) framework schedules workloads while minimizing energy consumption. ns3 simulation shows improved packet loss ratio and throughput. © 2022 Elsevier B.V., All rights reserved.

Item Type: Conference or Workshop Item (Paper)
Subjects: Engineering > Engineering
Divisions: Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai > Electronics & Communication Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 02 Dec 2025 09:31
URI: https://vmuir.mosys.org/id/eprint/2991

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