An adaptive simulated annealing genetic algorithm for the data placement problem in saas

Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012

Volumn , Issue , 2012, Pages 1037-1043

  Bowen, Yuan ^a   Shaochun, Wu ^a  

^a SHANGHAI UNIVERSITY   (China)

Author keywords

Adaptive; Data placement; Genetic algorithm; SAAS; Simulated annealing

Indexed keywords

ADAPTIVE; ADAPTIVE SIMULATED ANNEALING GENETIC ALGORITHM; CONVERGENCE TIME; CROSSOVER RATES; DATA CENTERS; DATA PLACEMENT; EXECUTION TIME; MUTATION RATES; SAAS; SIMPLE GENETIC ALGORITHM; SOFTWARE AS A SERVICE; TRANSMISSION TIME;

ELECTRONICS ENGINEERING; GENETIC ALGORITHMS;

SIMULATED ANNEALING;

EID: 84870048972     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICEE.2012.275     Document Type: Conference Paper

References (6)

1. Michael Armbrust; Armando Fox;Rean Griffith. Above the clouds: A Berkeley view of cloud computing[R]. UCB/EECS-2009-28. University of California at Berkeley, 2009.
2. Sharad Agarwal; John Dunagan. Volley: Automated Data Placement for Geo-Distributed Cloud Services. In Proceedings of NSDI.2010,PP:17-32.
3. Jing Xu;Jose A. B. Fortes. Multi-objective Virtual Machine Placement in Virtualized Data Center Environments. Green Computing and Communications (GreenCom), IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) .2010,PP: 179-188.
4. Bo Dong; Xiao Zhong.Correlation based File Prefetching Approach for Hadoop [C]. Proceedings of the 2nd IEEE International Conference on Cloud Computing Technology and Science.2010,PP:41-48.
5. Zeratul Izzah;Mohd Yusoh: A penalty-based genetic algorithm for the composite SaaS placement problem in the Cloud. IEEE Congress on Evolutionary Computation.2010,PP:1-8.
6. Wang Xiao-Ping;Cao Li-ming.Genetic Algorithm: Theory, Application and software Realization[M].Xi'an:Xi'an Jiaotong University Press.2002