DocumentCode :
2544379
Title :
A Service Provisioning Strategy Based on SPEA2 for SaaS Applications in Cloud
Author :
Tiantian Zhang ; Yuliang Shi ; Meng Xu ; Lizhen Cui
Author_Institution :
Shandong Provincial Key Lab. of Software Eng., Shandong Univ., Jinan, China
fYear :
2012
fDate :
1-3 Nov. 2012
Firstpage :
290
Lastpage :
295
Abstract :
Software as a service (SaaS) is the main service model in cloud computing and has been generally recognized. More and more traditional software turns to SaaS applications. For SaaS provider, it hopes that it can provide better service performance to tenants while attain more profit. But the two goals are contradictory. So in this paper, we model the SaaS application service provisioning problem as multi-objective optimization problem and propose a service provisioning strategy based on Strength Pareto Evolutionary Algorithm 2 (SPEA2) for SaaS applications in cloud. The experiments show that compared with random strategy and greedy strategy, the service provisioning strategy proposed in this paper can effectively improve the service performance and profit.
Keywords :
Pareto optimisation; cloud computing; evolutionary computation; SPEA2; SaaS application service; SaaS provider; cloud computing; greedy strategy; random strategy; service performance; service profit; service provisioning strategy; software-as-a-service; strength Pareto evolutionary algorithm 2; Cloud computing; Encoding; Optimization; Time factors; Virtual machining; SPEA2; SaaS; Service provisioning; cloud;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud and Green Computing (CGC), 2012 Second International Conference on
Conference_Location :
Xiangtan
Print_ISBN :
978-1-4673-3027-5
Type :
conf
DOI :
10.1109/CGC.2012.80
Filename :
6382831
Link To Document :
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