Energy-efficient strategy for cloud storage based on the characteristics of remote sensing image data

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 d...

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Bibliographic Details
Main Authors: Xinchen Ye, Yurong Qian, Jiong Yu, Jiaji Wu, Hailong Zhang
Format: Conference Proceeding
Language:English
Subjects:
Cloud computing
Detectors
Distributed databases
distributed file system
dynamic reconfiguration
Energy efficiency
energy-efficient
File systems
Hardware
Remote sensing
remote sensing image
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Summary: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.
ISSN:2153-7003
DOI:10.1109/IGARSS.2016.7729159