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Adaptive load balancing algorithm using modified resource allocation strategies on infrastructure as a service cloud systems


Article Information

Title: Adaptive load balancing algorithm using modified resource allocation strategies on infrastructure as a service cloud systems

Authors: Lavanya M, Sahana V, Swathi Rekha K, Vaithiyanathan V.

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 10

Language: English

Categories

Abstract

Cloud computing is set of resources and services offered by the Internet. Cloud computing provides its consumers to access virtualized hardware, scalable, distributed and software infrastructure over the internet. Load balancing is the method which is used to distribute the task among multiple computers. Hence overload can be avoided and can achieve minimum data processing time, optimal resource utilization and minimum average response time. The existing Throttled Load Balancing (TLB) algorithm exhibits some drawbacks. To overcome the drawbacks in TLB this paper proposes an efficient scheduling algorithm, which can support the load balancing and can provide better improved strategies through efficient job scheduling, modified resource allocation techniques and reduce the power usage and context switching between the servers. Enhanced Throttled Load Balancing Algorithm provides improved results to Throttled Load Balancing Algorithm.


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