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Energy-efficient strategy for cloud storage based on the characteristics of remote sensing image data | |
Ye, Xinchen1,3![]() ![]() | |
2016-11-01 | |
Conference Name | 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 |
Source Publication | 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings |
Volume | 2016-November |
Pages | 635-638 |
Conference Date | July 10, 2016 - July 15, 2016 |
Correspondent Email | yexinchen@xao.ac.cn |
Conference Place | Beijing, China |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Project Number | 2015CB857100 ; 61462079 ; 61363083 ; 61262088 ; U1531125 ; 11503075 |
Contribution Rank | 3 |
Abstract | To the problem that random placement in distributed file system leads to the low utilization of servers, this article models according to the characteristics of remote sensing image data blocks, clusters data by setting storage centre with access frequency so that the adjacent remote sensing image data blocks in spatial position are near each other in physical storage as well. It promotes the response speed of the system, places data blocks according to data block groups, reshuffle the non-grouped data blocks at the system low load and turns off dispensable datanodes to achieve energy saving. The experiments suggest that in the inquiry of remote sensing image data, it is more efficient to place data blocks according to their own characteristics than random placement. Compared with common dynamic data placement strategies, this strategy performs better in energy saving when the system is at moderate load. 2016 IEEE. |
Funding Organization | 973 Program (2015CB857100) ; Institute of Electrical and Electronics Engineers Inc. ; 973 Program (2015CB857100) ; Institute of Electrical and Electronics Engineers Inc. ; National Natural Science Foundation of China (NO. 61462079, NO.61363083,NO.61262088, NO. U1531125, 11503075) ; National Natural Science Foundation of China (NO. 61462079, NO.61363083,NO.61262088, NO. U1531125, 11503075) |
Keyword | Cloud Computing Remote Sensing Image Distributed File System Dynamic Reconfiguration Energy-efficient |
DOI | 10.1109/IGARSS.2016.7729159 |
URL | 查看原文 |
Indexed By | EI ; CPCI |
Language | 英语 |
ISBN | 2147483647 |
WOS ID | WOS:000388114600159 |
Citation statistics | |
Document Type | 会议论文 |
Identifier | http://ir.xao.ac.cn/handle/45760611-7/1778 |
Collection | 计算机技术应用研究室 |
Corresponding Author | Ye, Xinchen; Qian, Yurong; Yu, Jiong; Zhang, Hailong |
Affiliation | 1. Xinjiang University, Urumqi, China 2. Xidian University, Xian, China 3. Xinjiang Astronomical Observatory, CAS, Urumqi, China |
First Author Affilication | Xinjiang Astronomical Observatory, Chinese Academy of Sciences |
Corresponding Author Affilication | Xinjiang Astronomical Observatory, Chinese Academy of Sciences |
Recommended Citation GB/T 7714 | Ye, Xinchen,Qian, Yurong,Yu, Jiong,et al. Energy-efficient strategy for cloud storage based on the characteristics of remote sensing image data[C]:Institute of Electrical and Electronics Engineers Inc.,2016:635-638. |
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Ye-2016-Energy-effic(305KB) | 会议论文 | 开放获取 | CC BY-NC-SA | View Application Full Text |
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