Optimized load balancing for efficient resource provisioning in the cloud

Cloud Computing offers on demand provisioning of computing resources to users. Cloud service providers manage a large number of user requests to provide services according to user demands. Allocating and managing user requests to physical hardware is a challenging issue, because there is a need to c...

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Main Authors: Naha, Ranesh Kumar, Othman, Mohamed
Format: Conference or Workshop Item
Language:English
Published: IEEE 2014
Online Access:http://psasir.upm.edu.my/id/eprint/55917/
http://psasir.upm.edu.my/id/eprint/55917/1/Optimized%20load%20balancing%20for%20efficient%20resource%20provisioning%20in%20the%20cloud.pdf
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author Naha, Ranesh Kumar
Othman, Mohamed
author_facet Naha, Ranesh Kumar
Othman, Mohamed
author_sort Naha, Ranesh Kumar
building UPM Institutional Repository
collection Online Access
description Cloud Computing offers on demand provisioning of computing resources to users. Cloud service providers manage a large number of user requests to provide services according to user demands. Allocating and managing user requests to physical hardware is a challenging issue, because there is a need to create a load balance among available system resources. Effective load balancing saves operational costs, improves user satisfaction and leads to accelerate overall performance. In this paper, we propose an algorithm entitled Optimized Load Balancing (OLB), which aims to carry out efficient load balancing by improving processing and response time. We compared our proposed load balancing algorithm with an existing load balancing algorithm. Experimental results show that our proposed algorithm outperforms the existing one.
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format Conference or Workshop Item
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institution Universiti Putra Malaysia
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language English
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publishDate 2014
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spelling upm-559172017-06-30T09:52:16Z http://psasir.upm.edu.my/id/eprint/55917/ Optimized load balancing for efficient resource provisioning in the cloud Naha, Ranesh Kumar Othman, Mohamed Cloud Computing offers on demand provisioning of computing resources to users. Cloud service providers manage a large number of user requests to provide services according to user demands. Allocating and managing user requests to physical hardware is a challenging issue, because there is a need to create a load balance among available system resources. Effective load balancing saves operational costs, improves user satisfaction and leads to accelerate overall performance. In this paper, we propose an algorithm entitled Optimized Load Balancing (OLB), which aims to carry out efficient load balancing by improving processing and response time. We compared our proposed load balancing algorithm with an existing load balancing algorithm. Experimental results show that our proposed algorithm outperforms the existing one. IEEE 2014 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/55917/1/Optimized%20load%20balancing%20for%20efficient%20resource%20provisioning%20in%20the%20cloud.pdf Naha, Ranesh Kumar and Othman, Mohamed (2014) Optimized load balancing for efficient resource provisioning in the cloud. In: 2014 IEEE 2nd International Symposium on Telecommunication Technologies (ISTT), 24-26 Nov. 2014, Langkawi, Kedah, Malaysia. (pp. 442-445). 10.1109/ISTT.2014.7238251
spellingShingle Naha, Ranesh Kumar
Othman, Mohamed
Optimized load balancing for efficient resource provisioning in the cloud
title Optimized load balancing for efficient resource provisioning in the cloud
title_full Optimized load balancing for efficient resource provisioning in the cloud
title_fullStr Optimized load balancing for efficient resource provisioning in the cloud
title_full_unstemmed Optimized load balancing for efficient resource provisioning in the cloud
title_short Optimized load balancing for efficient resource provisioning in the cloud
title_sort optimized load balancing for efficient resource provisioning in the cloud
url http://psasir.upm.edu.my/id/eprint/55917/
http://psasir.upm.edu.my/id/eprint/55917/
http://psasir.upm.edu.my/id/eprint/55917/1/Optimized%20load%20balancing%20for%20efficient%20resource%20provisioning%20in%20the%20cloud.pdf