Energy efficient scheduling in data centers
The explosive growth of the Internet has resulted in tremendous growth of the data centers which primarily serve as the cloud computing backbones. We consider the practical architecture of a real data center where different types of services are implemented in different tiers. We use Model Predictiv...
Saved in:
| Main Authors: | , , |
|---|---|
| 其他作者: | |
| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2016
|
| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/80296 http://hdl.handle.net/10220/40460 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| id |
sg-ntu-dr.10356-80296 |
|---|---|
| record_format |
dspace |
| spelling |
sg-ntu-dr.10356-802962020-03-07T13:24:43Z Energy efficient scheduling in data centers Paul, Debdeep Zhong, Wende Bose, Sanjay K School of Electrical and Electronic Engineering 2015 IEEE International Conference on Communications (ICC) provisioning cloud computing computer centres predictive control resource allocation telecommunication power management telecommunication scheduling cost energy efficient scheduling The explosive growth of the Internet has resulted in tremendous growth of the data centers which primarily serve as the cloud computing backbones. We consider the practical architecture of a real data center where different types of services are implemented in different tiers. We use Model Predictive Control (MPC) based energy aware scheduling algorithms to address the resource allocation problem for deferrable jobs in such a tiered architecture, where the switching cost is accounted for in two different ways. We compare the performance of these two algorithms with respect to the important performance parameters of cumulative electricity cost, cumulative renewable usage and cumulative number of switchings. We discuss the results to provide some insightful understanding on these issues. Accepted version 2016-04-18T08:22:35Z 2019-12-06T13:46:40Z 2016-04-18T08:22:35Z 2019-12-06T13:46:40Z 2015 Conference Paper Paul, D., Zhong, W., & Bose, S. K. (2015). Energy efficient scheduling in data centers. 2015 IEEE International Conference on Communications (ICC), 5948-5953. https://hdl.handle.net/10356/80296 http://hdl.handle.net/10220/40460 10.1109/ICC.2015.7249270 en © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/ICC.2015.7249270]. 6 p. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| country |
Singapore |
| collection |
DR-NTU |
| language |
English |
| topic |
provisioning cloud computing computer centres predictive control resource allocation telecommunication power management telecommunication scheduling cost energy efficient scheduling |
| spellingShingle |
provisioning cloud computing computer centres predictive control resource allocation telecommunication power management telecommunication scheduling cost energy efficient scheduling Paul, Debdeep Zhong, Wende Bose, Sanjay K Energy efficient scheduling in data centers |
| description |
The explosive growth of the Internet has resulted in tremendous growth of the data centers which primarily serve as the cloud computing backbones. We consider the practical architecture of a real data center where different types of services are implemented in different tiers. We use Model Predictive Control (MPC) based energy aware scheduling algorithms to address the resource allocation problem for deferrable jobs in such a tiered architecture, where the switching cost is accounted for in two different ways. We compare the performance of these two algorithms with respect to the important performance parameters of cumulative electricity cost, cumulative renewable usage and cumulative number of switchings. We discuss the results to provide some insightful understanding on these issues. |
| author2 |
School of Electrical and Electronic Engineering |
| author_facet |
School of Electrical and Electronic Engineering Paul, Debdeep Zhong, Wende Bose, Sanjay K |
| format |
Conference or Workshop Item |
| author |
Paul, Debdeep Zhong, Wende Bose, Sanjay K |
| author_sort |
Paul, Debdeep |
| title |
Energy efficient scheduling in data centers |
| title_short |
Energy efficient scheduling in data centers |
| title_full |
Energy efficient scheduling in data centers |
| title_fullStr |
Energy efficient scheduling in data centers |
| title_full_unstemmed |
Energy efficient scheduling in data centers |
| title_sort |
energy efficient scheduling in data centers |
| publishDate |
2016 |
| url |
https://hdl.handle.net/10356/80296 http://hdl.handle.net/10220/40460 |
| _version_ |
1681035415767744512 |