Performance Optimization using Resource Pooling and Load Balancing approaches to achieve Green Computing.

Kadam, Siddhant Padmakar (2022) Performance Optimization using Resource Pooling and Load Balancing approaches to achieve Green Computing. Masters thesis, Dublin, National College of Ireland.

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Abstract

As the demand of resources is rapidly increasing in the cloud computing environment, resource pooling is considered as one of the efficient way to share the load capacity among the multiple resources, this technique helps the organizations to utilize the unused resources such as spare computers, physical servers etc. The concept of resource pooling allows the cloud providers for delivering the on-demand supply of resources. In order to adhere the demand and utilize the resource capacity efficiently, It is a crucial factor. This technique is used to distribute load among numerous virtual servers in a Server through a network in order to obtain excellent resource usage, the shortest computational duration, the lowest average response time, and to avoid overloading. Algorithms based on FIFO, LIFO, and RR have a similar drawback in that they have a greater waiting time, which is unfavorable to processes having fast execution. In this research, we have discussed about the various shortcoming of using the traditional load balancing algorithm such as Round robin algorithm and also proposed an efficient solution of load balancing in cloud computing environment using Equally Spread Current Execution (ESCE) algorithm. After performing certain set of experiments with both the algorithms including the round robin and ESCE algorithm, we have reached to a conclusion that ESCE algorithm reduces the response time of the system in addition it enhances the resource utilization, processing capabilities of the cloud computing system.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Tamara Malone
Date Deposited:	05 Dec 2022 13:28
Last Modified:	06 Dec 2022 18:06
URI:	https://norma.ncirl.ie/id/eprint/5966

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