• DocumentCode
    3091781
  • Title

    S-BM: A benchmark suite for multi-tenant supplier relationship management service

  • Author

    Zeyu Di ; Shijun Liu ; Caltom Pu ; Xiaoning Hao

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    692
  • Lastpage
    697
  • Abstract
    Scalability is one of the many challenges in designing and operating SaaS-type applications, which demands dynamic generation, composition, deployment, and monitoring of applications. A fundamental problem that confronts such applications is the efficient approach to evaluate the performance of the applications and resource utilization before they actually deployed. In this paper, S-BM, a benchmark suite for supplier relationship management (SRM) applications is presented in terms of architecture, workloads, and key metrics. The complete implementation description and experiments in typical workloads are also presented. S-BM provides support for two key considerations when deploy SRM applications for new tenants: performance changes according to different business scale and performance changes when deployed in different hosting environments. S-BM generates workloads adapts different tenant´s requirements as well as their different business scales. Results from the emulations show that S-BM can help evaluating the performances and quantifying the optimized deployment efficiently.
  • Keywords
    cloud computing; supply chain management; S-BM benchmark suite; SRM application; SaaS-type application; business scale; hosting environment; multitenant supplier relationship management service; software-as-a-service; tenant requirement; Benchmark testing; Business; Databases; Servers; Synchronization; Time factors; SRM; SaaS; benchmark; performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2013 10th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-4434-0
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2013.6602595
  • Filename
    6602595