MBA:A market-based approach to data allocation and dynamic migration for cloud database

作     者：HUANG Allen 

作者机构：Microsoft SQL China R&D Center 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2012年第55卷第9期

页      面：1935-1948页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

基　　金：supported by Cultivation Fund of the Key Scientific and Technical Innovation Project,Ministry of Education of China(Grant No.708001) Fundamental Research Funds for the Central Universities (Grant No.2011121049) National High Technology Research and Development Program of China(Grant Nos. 2007AA01Z191,2009AA01Z150) National Science and Technology Major Program(Grant Nos.2010ZX01042001-003-05,2010ZX01042-002-002-02) National Science & Technology Pillar Program(Grant No.2009BAH44B03) the joint project of Microsoft SQL China R&D Center and Peking University 

主　　题：market-based control data distribution load balancing 

摘      要：With the coming shift to cloud computing,cloud database is emerging to provide database service over the *** the cloud-based environment,data are distributed at Internet scale and the system needs to handle a huge number of user queries simultaneously without *** data are distributed among the servers has a crucial impact on the query load distribution and the system response *** this paper,we propose a market-based control method,called MBA,to achieve query load balance via reasonable data *** MBA,database nodes are treated as traders in a market,and certain market rules are used to intelligently decide data allocation and *** built a prototype system and conducted extensive *** results show that the MBA method significantly improves system performance in terms of average query response time and fairness.