Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing

Cloud computing has become biggest buzz in the computer era these days.It runs entire operating systems on the cloud and doeverything on cloud to store data off-site.Cloud computing is primarily based on grid computing, but it’s a new computational model.Cloud computing has emer...

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Main Authors: Parmesivan, Yuganes, Hasan, Sazlinah, Muhammed, Abdullah
Format: Article
Language:English
Published: Engg Journals Publications 2018
Online Access:http://psasir.upm.edu.my/id/eprint/75262/1/Performance%20Evaluation%20of%20Load%20Balancing%20Algorithm.pdf
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author Parmesivan, Yuganes
Hasan, Sazlinah
Muhammed, Abdullah
author_facet Parmesivan, Yuganes
Hasan, Sazlinah
Muhammed, Abdullah
author_sort Parmesivan, Yuganes
collection UPM
description Cloud computing has become biggest buzz in the computer era these days.It runs entire operating systems on the cloud and doeverything on cloud to store data off-site.Cloud computing is primarily based on grid computing, but it’s a new computational model.Cloud computing has emerged into a new opportunity to further enhance way of hosting data centre and provide services.The primary substance of cloud computing is to deal the computing power,storage,different sort of stages and services which assigned tothe external users on demand through the internet.Task scheduling in cloud computing is vital role optimisation and effective dynamic resource allocation for load balancing.In cloud, the issue focused is under utilisation and over utilisation of the resources to distribute workload of multiple network links for example,when cloud clients try to access and send request tothe same cloud server while the other cloud server remain idle at that moment, leads to the unbalanced of workload on cloud data centers.Thus, load balancing is to assign tasks to the individual cloud data centers of the shared system so that no single cloud data centers is overloaded or under loaded.A Hybrid approach of Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm is combined in order to get effective response time.The proposed hybrid algorithm has been experimented by using CloudSim simulator.The result shows that the hybrid load balancing algorithm improves the cloud system performance by reducing the response time compared to the Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm.
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spelling upm.eprints-752622019-10-14T05:49:24Z http://psasir.upm.edu.my/id/eprint/75262/ Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing Parmesivan, Yuganes Hasan, Sazlinah Muhammed, Abdullah Cloud computing has become biggest buzz in the computer era these days.It runs entire operating systems on the cloud and doeverything on cloud to store data off-site.Cloud computing is primarily based on grid computing, but it’s a new computational model.Cloud computing has emerged into a new opportunity to further enhance way of hosting data centre and provide services.The primary substance of cloud computing is to deal the computing power,storage,different sort of stages and services which assigned tothe external users on demand through the internet.Task scheduling in cloud computing is vital role optimisation and effective dynamic resource allocation for load balancing.In cloud, the issue focused is under utilisation and over utilisation of the resources to distribute workload of multiple network links for example,when cloud clients try to access and send request tothe same cloud server while the other cloud server remain idle at that moment, leads to the unbalanced of workload on cloud data centers.Thus, load balancing is to assign tasks to the individual cloud data centers of the shared system so that no single cloud data centers is overloaded or under loaded.A Hybrid approach of Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm is combined in order to get effective response time.The proposed hybrid algorithm has been experimented by using CloudSim simulator.The result shows that the hybrid load balancing algorithm improves the cloud system performance by reducing the response time compared to the Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm. Engg Journals Publications 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/75262/1/Performance%20Evaluation%20of%20Load%20Balancing%20Algorithm.pdf Parmesivan, Yuganes and Hasan, Sazlinah and Muhammed, Abdullah (2018) Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing. International Journal of Engineering and Technology, 7 (4.31). 386 - 390. ISSN 2319-8613; ESSN: 0975-4024 https://www.sciencepubco.com/index.php/ijet/article/view/23717
spellingShingle Parmesivan, Yuganes
Hasan, Sazlinah
Muhammed, Abdullah
Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing
title Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing
title_full Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing
title_fullStr Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing
title_full_unstemmed Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing
title_short Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing
title_sort performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing
url http://psasir.upm.edu.my/id/eprint/75262/1/Performance%20Evaluation%20of%20Load%20Balancing%20Algorithm.pdf
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