Reputation-Aware learning for SLA negotiation

  • Authors:
  • Mohamed Lamine Lamali;Dominique Barth;Johanne Cohen

  • Affiliations:
  • Alcatel-Lucent Bell Labs, Nozay, France;Lab. PRiSM, UMR8144, Université de Versailles, Versailles Cedex, France;Lab. PRiSM, UMR8144, Université de Versailles, Versailles Cedex, France

  • Venue:
  • IFIP'12 Proceedings of the 2012 international conference on Networking
  • Year:
  • 2012

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Abstract

Assuring Quality of Service (QoS) over multiple Network Service Providers (NSPs) requires to negotiate QoS contracts as Service Level Agreements (SLAs) between NSPs. The goal of an NSP is to maximize its revenues by selling as much as possible SLAs. However, provisioning too much SLAs might increase the risk of violations of the committed QoS thus impacting the NSP's reputation. In order to determine the appropriate provisioning strategies, we propose to extend existing solutions based on Reinforcement Learning with reputation-awareness so that NSPs maximize their revenues.