标题:A workload-based dynamic adaptive data replica placement method
作者:Guo, Wei ;Wang, Xinjun ;Don, Yongquan
作者机构:[Guo, Wei ;Wang, Xinjun ] Shandong Provincial Key Laboratory of Software Engineering, School of Computer Science and Technology, Shandong University, 更多
会议名称:11th Web Information System and Application Conference, WISA 2014
会议日期:12 September 2014 through 14 September 2014
来源:Proceedings - 11th Web Information System and Application Conference, WISA 2014
出版年:2014
页码:184-187
DOI:10.1109/WISA.2014.41
关键词:Cloud computing; Data placement; Data replica; Workload
摘要:The data placement issues in cloud computing platform have been extensively researched, mainly in the choice of the number of data replica, initial data placement strategy, the run-time and dynamically adjustment and routing algorithm and other aspects of the transaction request. In this paper, we design a whole framework to the method of placing data replica for analysis and description from a higher level. We then briefly describe a method based on workload, and propose a cloud computing data replica dynamic scheduling mechanism, while in our main contribution propose a set of novel dynamic adaptive data replica placement techniques to achieve higher scalability, fault tolerance and increased variation and ability to cope with the workload. Experimental results show that our approach in data replica placement can significantly reduce the frequency of distributed transactions. © 2014 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946692848&doi=10.1109%2fWISA.2014.41&partnerID=40&md5=c18e3e47eea56b6e2f718345ae17abb9
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