| dc.contributor.advisor | Kaonain, Md. Shamsul | |
| dc.contributor.advisor | Adhikary, Tamal | |
| dc.contributor.author | Khan, Md. Modabbir Rahman | |
| dc.date.accessioned | 2017-05-08T08:51:13Z | |
| dc.date.available | 2017-05-08T08:51:13Z | |
| dc.date.copyright | 2017 | |
| dc.date.issued | 2017-04 | |
| dc.identifier.other | ID 12101132 | |
| dc.identifier.uri | http://hdl.handle.net/10361/8106 | |
| dc.description | This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. | en_US |
| dc.description | Cataloged from PDF version of thesis report. | |
| dc.description | Includes bibliographical references (page 32-35). | |
| dc.description.abstract | Cloud computing is an emerging technology provided over the internet in which resource provisioning (RP) and job scheduling (JS) are two of them ost important issues.The goal of RS and JS is to accomplish better QoS with highest possible use of assets in one cloud domain. To achieve better QoS in SLA, an enhanced algorithm has been proposed here which considers all parameters of a certain job and maximize the resource utilization with proper scheduling of the jobs given. | en_US |
| dc.description.statementofresponsibility | Md. Modabbir Rahman Khan | |
| dc.format.extent | 37 pages | |
| dc.language.iso | en | en_US |
| dc.publisher | BRAC University | en_US |
| dc.rights | 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. | |
| dc.subject | QoS | en_US |
| dc.subject | Cloud computing | en_US |
| dc.title | An enhanced approach to QoS-aware resource provisioning and job scheduling in cloud computing | en_US |
| dc.type | Thesis | en_US |
| dc.contributor.department | Department of Computer Science and Engineering, BRAC University | |
| dc.description.degree | B. Computer Science and Engineering | |
