摘要
Data centers’ demand response (DR) program has been paid more and more attention recently. As an important component of data centers, multi-tenant data centers (also called “colocation”) play a significant role in the demand response, especially in the emergency demand response (EDR). In this paper, we focus on how the colocation can perform better in the EDR program. We formulate the “uncoordinated relationship” in the colocation which is the key problem affecting energy efficiency, and propose a reward system to motivate tenants to join the EDR program, and a truthful strategy is developed to ensure the authenticity of tenants’ information. For achieving the overall coordination, we integrate tenants’ resources to increase the colocation’s resource utilization and optimize the whole colocation’s energy efficiency, then devise two algorithms to solve the actual resource migration and integration problem. We analyze the complexity of allocation model and two algorithms. Experimental results show that our solution is practical and efficient.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Frontiers in Algorithmics - 9th International Workshop, FAW 2015, Proceedings |
| 编辑 | Chee Yap, Jianxin Wang |
| 出版商 | Springer Verlag |
| 页 | 259-270 |
| 页数 | 12 |
| ISBN(印刷版) | 9783319196466 |
| DOI | |
| 出版状态 | 已出版 - 2015 |
| 已对外发布 | 是 |
| 活动 | 9th International Workshop on Frontiers in Algorithmics, FAW 2015 - Guilin, 中国 期限: 3 7月 2015 → 5 7月 2015 |
出版系列
| 姓名 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| 卷 | 9130 |
| ISSN(印刷版) | 0302-9743 |
| ISSN(电子版) | 1611-3349 |
会议
| 会议 | 9th International Workshop on Frontiers in Algorithmics, FAW 2015 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Guilin |
| 时期 | 3/07/15 → 5/07/15 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
-
可持续发展目标 7 经济适用的清洁能源
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