• DocumentCode
    611046
  • Title

    Automated SLA Negotiation Framework for Cloud Computing

  • Author

    Linlin Wu ; Garg, S.K. ; Buyya, Rajkumar ; Chao Chen ; Versteeg, S.

  • Author_Institution
    Dept. of Comput. & Inf. Syst., Univ. of Melbourne, Melbourne, VIC, Australia
  • fYear
    2013
  • fDate
    13-16 May 2013
  • Firstpage
    235
  • Lastpage
    244
  • Abstract
    A Service Level Agreement (SLA) is a legal contract between parties to ensure the Quality of Service (QoS) are provided the providers to the customers. A SLA negotiation between participants assists in defining the QoS requirements of critical service-based processes. However, the negotiation process for customers is a significant task particularly when there are multiple SaaS providers in the Cloud market, as service cost and quality are constantly changing and consumers have varying needs. Therefore, we propose a novel automated negotiation framework where a SaaS broker is utilized as the one-stop-shop for customers to achieve the required service efficiently when negotiating with multiple providers. The automated negotiation framework facilitates intelligent bilateral bargaining of SLAs between a SaaS broker and multiple providers to achieve different objectives for different participants. To maximize profit and improve customer satisfaction levels for the broker, we propose the design of counter offer generation strategies and decision making heuristics that take into account time, market constraints and trade-off between QoS parameters. Our negotiation heuristics are evaluated by extensive experimental studies of our framework using data from a real Cloud provider.
  • Keywords
    cloud computing; contracts; quality of service; QoS parameter; SaaS broker; SaaS provider; automated SLA negotiation framework; cloud computing; cloud market; counter offer generation strategy; decision making heuristics; quality of service; service cost; service level agreement; service quality; software-as-a-service; Availability; Cloud computing; Decision making; Mathematical model; Quality of service; Radiation detectors; Software as a service; Cloud computing; SLA negotiation; Software-as-a-Service; market-oriented; resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2013 13th IEEE/ACM International Symposium on
  • Conference_Location
    Delft
  • Print_ISBN
    978-1-4673-6465-2
  • Type

    conf

  • DOI
    10.1109/CCGrid.2013.64
  • Filename
    6546098