A Reputation-Based Approach to Self-Adaptive Service Selection

Authors Jan Sudeikat, Wolfgang Renz, Ante Vilenica, Winfried Lamersdorf

Thumbnail PDF


  • Filesize: 1.9 MB
  • 12 pages

Document Identifiers

Author Details

Jan Sudeikat
Wolfgang Renz
Ante Vilenica
Winfried Lamersdorf

Cite AsGet BibTex

Jan Sudeikat, Wolfgang Renz, Ante Vilenica, and Winfried Lamersdorf. A Reputation-Based Approach to Self-Adaptive Service Selection. In 17th GI/ITG Conference on Communication in Distributed Systems (KiVS 2011). Open Access Series in Informatics (OASIcs), Volume 17, pp. 14-25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


Service-orientation provides concepts and tools for flexible composition and management of largescale distributed software applications. The automated run-time management of such loosely coupled software systems, however, poses still major challenges and is therefore an active research area, including the use of novel computing paradigms. In this context, the dynamic and adaptive selection of best possible service providers is an important task, which can be addressed by an appropriate middleware layer that allows considering different service quality aspects when managing the adaptive execution of distributed service workflows dynamically. In such an approach, service consumers are enabled to delegate the adaptive selection of service providers at run-time to the execution infrastructure. The selection criteria used are based on the cost of a service provision and the continuous, dynamic evaluation of reputations of providers, i.e. maintained track records of meeting the respective service commitments. This paper discusses the design and operating principle of such an automatic service selection middleware extension. Its ability to balance different quality criteria for service selection, such as service cost vs. the reliability of provision, is empirically evaluated based on a multi-agent platform approach.
  • Service
  • Workflow
  • Multagent System
  • Self-Adaptivity


  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    PDF Downloads
Questions / Remarks / Feedback

Feedback for Dagstuhl Publishing

Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail