• DocumentCode
    606360
  • Title

    Towards Self-Adaptive Cloud Collaborations

  • Author

    Gohad, A. ; Ponnalagu, K. ; Narendra, Nanjangud C. ; Rao, Patri Sreehari

  • Author_Institution
    IBM India Software Lab., Bangalore, India
  • fYear
    2013
  • fDate
    25-27 March 2013
  • Firstpage
    54
  • Lastpage
    61
  • Abstract
    In multi-tenant collaborative cloud systems, the choice of cloud providers is based on pre-negotiated terms and conditions to help meet Service Level Agreements (SLAs) and streamline resource provisioning. However, these collaborations are not self-adaptive to accommodate changes in tenancy requirements, quality of resources and provider capabilities as provider collaborations remain static over tenancy period. In our paper, we present an approach towards achieving self-adaptive cloud collaborations. Our model selects the best possible cloud collaborations from amongst multiple possible dependent cloud provider collaboration links. The formation of cloud provider collaborations is broadly based on cloud provider capabilities, tenancy requirements, cost modeling of each cloud provider andits functional ability at the Software as a Service (SaaS) layer. We present an algorithm to form dynamic cloud collaborations and thereby determine the most appropriate linkages within the providers. We also illustrate our approach throughout our paper with a realistic running example, and present detailed experimental evaluation via a proof-of-concept prototype implementation.
  • Keywords
    cloud computing; contracts; groupware; SLA; SaaS; cloud provider collaboration links; cloud providers; multitenant collaborative cloud systems; prenegotiated conditions; prenegotiated terms; proof-of-concept prototype implementation; self-adaptive cloud collaborations; service level agreements; software as a service layer; tenancy period; Cloud computing; Collaboration; Heuristic algorithms; Indexes; Iterative closest point algorithm; Monitoring; Transmission line measurements; cloud collaboration; model; multi-tenant; provisioning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Engineering (IC2E), 2013 IEEE International Conference on
  • Conference_Location
    Redwood City, CA
  • Print_ISBN
    978-1-4673-6473-7
  • Type

    conf

  • DOI
    10.1109/IC2E.2013.11
  • Filename
    6529268