Title
MBA:A market-based approach to data allocation and dynamic migration for cloud database
Abstract
With the coming shift to cloud computing,cloud database is emerging to provide database service over the Internet.In the cloud-based environment,data are distributed at Internet scale and the system needs to handle a huge number of user queries simultaneously without delay.How data are distributed among the servers has a crucial impact on the query load distribution and the system response time.In this paper,we propose a market-based control method,called MBA,to achieve query load balance via reasonable data distribution.In MBA,database nodes are treated as traders in a market,and certain market rules are used to intelligently decide data allocation and migration.We built a prototype system and conducted extensive experiments.Experimental results show that the MBA method significantly improves system performance in terms of average query response time and fairness.
Year
DOI
Venue
2012
10.1007/s11432-011-4432-3
SCIENCE CHINA Information Sciences
Keywords
Field
DocType
market-based control,load balancing,data distribution
Load balancing (computing),Computer science,Server,Response time,Data allocation,Database,Cloud database,Cloud computing,The Internet
Journal
Volume
Issue
ISSN
55
9
1869-1919
Citations 
PageRank 
References 
6
0.52
11
Authors
9
Name
Order
Citations
PageRank
WANG Teng-Jiao135248.09
林子雨212910.80
Bishan Yang347321.08
Jun Gao424525.52
Allen Huang5397.84
YANG Dong-Qing6975201.51
Qi Zhang717511.24
Shiwei Tang847851.52
Jinzhong Niu913512.93