Load Balancing Technique using Virtualization with WRR Algorithm in Cloud Computing

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Foram Patel; Dr. Mohit Bhadla

Load Balancing Technique using Virtualization with WRR Algorithm in Cloud Computing

Authors: Foram Patel, Dr. Mohit Bhadla

Unique Paper ID: 177200
Volume: 11
Issue: 12
PageNo: 579-586

Keywords: Cloud computing Load Balancing Algorithm Virtualization Virtual Machine Weighted Round Robin WRR.

Abstract:
Cloud Computing still grapples with enormous challenges in efficiently managing resource allocation, with load balancing being a core issue affecting system performance, Quality of Service (QoS), and compliance with Service Level Agreements (SLAs). This study advances an innovative load balancing scheme that incorporates virtualization and dynamic task migration for efficient utilization of resources in cloud computing environments. Through the use of virtualization, the model dynamically generates and maintains virtual machine (VM) copies in order to avoid node overload and reduce execution latency. The designed methodology applies a Weighted Round Robin (WRR) technique for task allocation according to server capacities, which guarantees efficient and equitable load distribution. CloudSim simulation results reveal that the model registers significant enhancements in system response time, resource utilization, and operating cost savings. By strategically creating and destroying VM replicas according to individual module requirements, the framework promotes scalability, minimizes storage overhead, and provides guaranteed service availability at all times, providing a realistic and space-saving solution to the challenges of contemporary cloud infrastructures.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 579-586

Load Balancing Technique using Virtualization with WRR Algorithm in Cloud Computing

Available:https://ijirt.org/article?manuscript=177200

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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