• 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