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Energy-efficient strategy for cloud storage based on the characteristics of remote sensing image data
Ye, Xinchen1,3; Qian, Yurong1; Yu, Jiong1; Wu, Jiaji2; Zhang, Hailong3
2016-11-01
Conference Name36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Source Publication2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
Volume2016-November
Pages635-638
Conference DateJuly 10, 2016 - July 15, 2016
Correspondent Emailyexinchen@xao.ac.cn
Conference PlaceBeijing, China
PublisherInstitute of Electrical and Electronics Engineers Inc.
Project Number2015CB857100 ; 61462079 ; 61363083 ; 61262088 ; U1531125 ; 11503075
Contribution Rank3
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 Organization973 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)
KeywordCloud Computing Remote Sensing Image Distributed File System Dynamic Reconfiguration Energy-efficient
DOI10.1109/IGARSS.2016.7729159
URL查看原文
Indexed ByEI ; CPCI
Language英语
ISBN2147483647
WOS IDWOS:000388114600159
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.xao.ac.cn/handle/45760611-7/1778
Collection计算机技术应用研究室
Corresponding AuthorYe, Xinchen; Qian, Yurong; Yu, Jiong; Zhang, Hailong
Affiliation1. Xinjiang University, Urumqi, China
2. Xidian University, Xian, China
3. Xinjiang Astronomical Observatory, CAS, Urumqi, China
First Author AffilicationXinjiang Astronomical Observatory, Chinese Academy of Sciences
Corresponding Author AffilicationXinjiang 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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