Collaboration coding to multi-node repair program under the twin-MDS codes framework in cloud storage systems
Academic paper|更新时间:2024-06-05
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Collaboration coding to multi-node repair program under the twin-MDS codes framework in cloud storage systems
Journal on CommunicationsVol. 36, Issue Z1, Pages: 1-8(2015)
作者机构:
1. 重庆邮电大学 宽带接入网络研究所,重庆 400065
2. 重庆邮电大学 移通学院 计算机科学系,重庆 401520
作者简介:
基金信息:
The National Natural Science Foundation of China(61271259);The National Natural Science Foundation of China(0872037);The Natural Science Foundation of Chongqing(CTSC2011jjA40006);The Natural Science Foundation of Chongqing(CSTC2010BB2415);The Scientific and Technological Research Program of Chongqing Municipal Education Commission(KJ120501);The Scientific and Technological Research Program of Chongqing Municipal Education Commission(KJ110530)
Xian-zhong XIE, Qian HUANG, Liu-su WANG. Collaboration coding to multi-node repair program under the twin-MDS codes framework in cloud storage systems[J]. Journal on Communications, 2015, 36(Z1): 1-8.
DOI:
Xian-zhong XIE, Qian HUANG, Liu-su WANG. Collaboration coding to multi-node repair program under the twin-MDS codes framework in cloud storage systems[J]. Journal on Communications, 2015, 36(Z1): 1-8. DOI: 10.11959/j.issn.1000-436x.2015275.
Collaboration coding to multi-node repair program under the twin-MDS codes framework in cloud storage systems
which can repair multiple system nodes or redundant nodes simultaneously
was shown and proved to against the disadvantages of the existing multi-node repair model in cloud storage.The multi-node exact repair code was combined with a twin-MDS codes framework with health cooperative nodes.In this way
repair bandwidth
the number of repair links and the amount of data to be treated in an intermediate node were reduced
while multi-node were repaired.Finally
numerical simulation results show that this scheme has greater improvements.In particular
it reduces the load in an intermediate node.And the advantages was more obvious with the more storage nodes in cloud storage.
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references
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