Enhanced Cloud Service Broker Selection Policy Based On Differential Evolution Algorithm

Cloud computing (CC) is speedily an emerging technology in the Information Technology sector and is becoming a pivotal research area. CC permits cloud service providers to provide different types of cloud services to different users. Cloud users are willing to meet their requests demands at the lowe...

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Main Author: Sanjalawe, Yousef Khader Khattar
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:http://eprints.usm.my/52241/1/Pages%20from%20YOUSEF%20KHADER%20KHATAR%20SANJALAWE%20-%20TESIS.pdf
http://eprints.usm.my/52241/
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spelling my.usm.eprints.52241 http://eprints.usm.my/52241/ Enhanced Cloud Service Broker Selection Policy Based On Differential Evolution Algorithm Sanjalawe, Yousef Khader Khattar T1-995 Technology(General) Cloud computing (CC) is speedily an emerging technology in the Information Technology sector and is becoming a pivotal research area. CC permits cloud service providers to provide different types of cloud services to different users. Cloud users are willing to meet their requests demands at the lowest cost and minimum processing time and response time, which is highly dependent on the data center (DC) that is responsible for executing the requests. The selection of a DC in the CC environment is the responsibility of the Cloud Service Broker (CSB) that operates in accordance with a built-in routing policy. Improper DC selection might cause a bottleneck and congestion in the service brokerage architecture, resulting in resource leakage in termsof time and cost. 2020-10 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/52241/1/Pages%20from%20YOUSEF%20KHADER%20KHATAR%20SANJALAWE%20-%20TESIS.pdf Sanjalawe, Yousef Khader Khattar (2020) Enhanced Cloud Service Broker Selection Policy Based On Differential Evolution Algorithm. PhD thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic T1-995 Technology(General)
spellingShingle T1-995 Technology(General)
Sanjalawe, Yousef Khader Khattar
Enhanced Cloud Service Broker Selection Policy Based On Differential Evolution Algorithm
description Cloud computing (CC) is speedily an emerging technology in the Information Technology sector and is becoming a pivotal research area. CC permits cloud service providers to provide different types of cloud services to different users. Cloud users are willing to meet their requests demands at the lowest cost and minimum processing time and response time, which is highly dependent on the data center (DC) that is responsible for executing the requests. The selection of a DC in the CC environment is the responsibility of the Cloud Service Broker (CSB) that operates in accordance with a built-in routing policy. Improper DC selection might cause a bottleneck and congestion in the service brokerage architecture, resulting in resource leakage in termsof time and cost.
format Thesis
author Sanjalawe, Yousef Khader Khattar
author_facet Sanjalawe, Yousef Khader Khattar
author_sort Sanjalawe, Yousef Khader Khattar
title Enhanced Cloud Service Broker Selection Policy Based On Differential Evolution Algorithm
title_short Enhanced Cloud Service Broker Selection Policy Based On Differential Evolution Algorithm
title_full Enhanced Cloud Service Broker Selection Policy Based On Differential Evolution Algorithm
title_fullStr Enhanced Cloud Service Broker Selection Policy Based On Differential Evolution Algorithm
title_full_unstemmed Enhanced Cloud Service Broker Selection Policy Based On Differential Evolution Algorithm
title_sort enhanced cloud service broker selection policy based on differential evolution algorithm
publishDate 2020
url http://eprints.usm.my/52241/1/Pages%20from%20YOUSEF%20KHADER%20KHATAR%20SANJALAWE%20-%20TESIS.pdf
http://eprints.usm.my/52241/
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score 13.1944895