Choosing reputable servents in a P2P network
Proceedings of the 11th international conference on World Wide Web
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Policies in Accountable Contracts
POLICY '02 Proceedings of the 3rd International Workshop on Policies for Distributed Systems and Networks (POLICY'02)
Keynote 2: Trust and Reputation Relationships in Service-Oriented Environments
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Contract-based load management in federated distributed systems
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
SLA-Driven Clustering of QoS-Aware Application Servers
IEEE Transactions on Software Engineering
GossipTrust for Fast Reputation Aggregation in Peer-to-Peer Networks
IEEE Transactions on Knowledge and Data Engineering
Gossip-based aggregation of trust in decentralized reputation systems
Autonomous Agents and Multi-Agent Systems
TrustCode: P2P reputation-based trust management using network coding
HiPC'08 Proceedings of the 15th international conference on High performance computing
An adaptive group-based reputation system in peer-to-peer networks
WINE'05 Proceedings of the First international conference on Internet and Network Economics
A framework for secure and private P2P publish/subscribe
SSS'10 Proceedings of the 12th international conference on Stabilization, safety, and security of distributed systems
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In industry practice, bilateral agreements are established between providers and consumers of services in order to regulate their business relationships. In particular, Quality of Service (QoS) requirements are specified in those agreements in the form of legally binding contracts named Service Level Agreements (SLA). Meeting SLAs allows providers to be seen in the eyes of their clients, credible, reliable, and trustworthy. This contributes to augment their reputation that can be considered an important and competitive advantage for creating potentially new business opportunities. In this paper we describe the design and evaluation of a framework that can be used for dynamically computing the reputation of a service provider as specified into SLAs. Specifically, our framework evaluates the reputation by taking into account two principal factors; namely, the run time behaviors of the providers within a specific service provision relationship, and the reputation of the providers in the rest of the system. A feedback-based approach is used to assess these two factors: through it consumers express a vote on the providers' behavior according to the actions the providers undertake. We have carried out an evaluation that aimed at showing the feasibility of our approach. This paper discusses the principal results we have obtained by this evaluation.