QoS and cost aware brokerage system for selecting green CDCs
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.
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| বিন্যাস: | গবেষণাপত্র |
| ভাষা: | English |
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BRAC University
2016
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| অনলাইন ব্যবহার করুন: | http://hdl.handle.net/10361/6321 |
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10361-63212022-01-26T10:13:14Z QoS and cost aware brokerage system for selecting green CDCs Noman, Abdullah Al Adhikary, Tamal Kaonain, Md. Shamsul Department of Computer Science and Engineering, BRAC University Brokerage system Cloud data centers Cloud computing This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. Cataloged from PDF version of thesis report. Includes bibliographical references (page 39-42). Cloud service brokerage (CSB) systems are getting increasingly popular day by day to manage the performance and utility between cloud service providers (CSP) and cloud service consumers (CSC). An optimized CSB is supposed to be cost effective, energy efficient and should maintain the quality of service (QoS) according to the service level agreement (SLA). Additionally, a CSB needs to have the capability to select the optimal CSP which reflects the requirements of user requests. The state-of-the-art works on establishing a CSB system did not consider all the three objectives that a smart CSB system demands. In this work, we have defined a CSB model based on all of these three necessary criteria to achieve an optimized CSB which are energy efficiency, cost effectiveness and certainty of achieving QoS. The Mixed-Integer Linear Program (MILP) is used to formulate the objective function that will select a CSB. We simulate our proposed model in Matlab, compare our model with existing working models and the results show that significant performance improvement is achieved by our newly defined CSB. Abdullah Al Noman Farzana Noman Tamanna B. Computer Science and Engineering 2016-09-05T09:44:08Z 2016-09-05T09:44:08Z 2016 2016-08 Thesis ID 12101004 ID 12101041 http://hdl.handle.net/10361/6321 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 42 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Brokerage system Cloud data centers Cloud computing |
| spellingShingle |
Brokerage system Cloud data centers Cloud computing Noman, Abdullah Al QoS and cost aware brokerage system for selecting green CDCs |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. |
| author2 |
Adhikary, Tamal |
| author_facet |
Adhikary, Tamal Noman, Abdullah Al |
| format |
Thesis |
| author |
Noman, Abdullah Al |
| author_sort |
Noman, Abdullah Al |
| title |
QoS and cost aware brokerage system for selecting green CDCs |
| title_short |
QoS and cost aware brokerage system for selecting green CDCs |
| title_full |
QoS and cost aware brokerage system for selecting green CDCs |
| title_fullStr |
QoS and cost aware brokerage system for selecting green CDCs |
| title_full_unstemmed |
QoS and cost aware brokerage system for selecting green CDCs |
| title_sort |
qos and cost aware brokerage system for selecting green cdcs |
| publisher |
BRAC University |
| publishDate |
2016 |
| url |
http://hdl.handle.net/10361/6321 |
| work_keys_str_mv |
AT nomanabdullahal qosandcostawarebrokeragesystemforselectinggreencdcs |
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1814308110839316480 |