%0 Conference Proceedings
%T Reputation-Aware Learning for SLA Negotiation
%+ Alcatel-Lucent Bell Labs
%+ Parallélisme, Réseaux, Systèmes, Modélisation (PRISM)
%A Lamali, Mohamed, Lamine
%A Barth, Dominique
%A Cohen, Johanne
%Z Part 2: Economics and Technologies for Inter-Carrier Services
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B Networking Workshops (NETWORKING)
%C Prague, Czech Republic
%Y Zdenek Becvar
%Y Robert Bestak
%Y Lukas Kencl
%I Springer
%3 NETWORKING 2012 Workshops
%V LNCS-7291
%P 80-88
%8 2012-05-25
%D 2012
%R 10.1007/978-3-642-30039-4_10
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X 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.
%G English
%Z TC 6
%2 https://inria.hal.science/hal-01533582/document
%2 https://inria.hal.science/hal-01533582/file/978-3-642-30039-4_10_Chapter.pdf
%L hal-01533582
%U https://inria.hal.science/hal-01533582
%~ CNRS
%~ PRISM
%~ IFIP-LNCS
%~ IFIP
%~ UVSQ
%~ IFIP-TC
%~ IFIP-TC6
%~ IFIP-LNCS-7291
%~ IFIP-NETWORKING