• DocumentCode
    256399
  • Title

    Intelligent agents for automated cloud computing negotiation

  • Author

    Alsrheed, Faisal ; El Rhalibi, Abdennour ; Randles, Martin ; Merabti, Madjid

  • Author_Institution
    Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool, UK
  • fYear
    2014
  • fDate
    14-16 April 2014
  • Firstpage
    1169
  • Lastpage
    1174
  • Abstract
    Presently, cloud providers offer “off-the-shelf” Service Level Agreements (SLA), on a “take it or leave it” basis. This paper, alternatively, proposes customized SLAs. An automated negotiation is needed to establish customized SLAs between service providers and consumers with no previous knowledge of each other. Traditional negotiations between humans are often fraught with difficulty. Thus, in this work, the use of intelligent agents to represent cloud providers and consumers is advocated. Rubinstein´s Alternating Offers Protocol offers a suitable technical solution for this challenging problem. The purpose of this paper is to apply the state-of-the-art in negotiation automated algorithms/agents within a described Cloud Computing SLA framework, and to evaluate the most appropriate negotiation approach based on many criteria.
  • Keywords
    cloud computing; contracts; multi-agent systems; Rubinstein alternating offers protocol; SLA; automated cloud computing negotiation; cloud computing SLA framework; intelligent agents; service consumers; service level agreements; service providers; take-it-or-leave-it SLA; Bars; Bayes methods; Cloud computing; Educational institutions; Intelligent agents; Monitoring; Protocols; Automated Negotiation; Cloud computing; Service Level Agreements (SLA) management; intelligent agents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems (ICMCS), 2014 International Conference on
  • Conference_Location
    Marrakech
  • Print_ISBN
    978-1-4799-3823-0
  • Type

    conf

  • DOI
    10.1109/ICMCS.2014.6911305
  • Filename
    6911305