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PANDA: Specifying Policies for Automated Negotiations of Service Contracts

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNCS,volume 2910)

Abstract

The Web and Grid services frameworks provide a promising infrastructure for cross-organizational use of online services. The use of services in large-scale and cross-organizational environments requires the negotiation of agreements that define these services. Buying at a fine granularity just when a need arises is only feasible if the costs of establishing new agreements are low. Today, negotiation is often a manual process yet many simple online services would allow full or partial automation. The PANDA approach automates decision-making and proposes to specify a negotiation policy, expressing a party’s private negotiation strategy, by combining rules and utility functions. In addition, the decision-making problem can be decomposed into different aspects that can be executed by different interacting decision-makers. Using PANDA for policy specification and negotiation decision-making reduces the costs of setting up new services and contracts. Hence, the use of fine-grained on-demand services becomes feasible.

Keywords

  • Utility Function
  • Service Level Agreement
  • Service Contract
  • Negotiation Policy
  • Business Process Execution Language

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Gimpel, H., Ludwig, H., Dan, A., Kearney, B. (2003). PANDA: Specifying Policies for Automated Negotiations of Service Contracts. In: Orlowska, M.E., Weerawarana, S., Papazoglou, M.P., Yang, J. (eds) Service-Oriented Computing - ICSOC 2003. ICSOC 2003. Lecture Notes in Computer Science, vol 2910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24593-3_20

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  • DOI: https://doi.org/10.1007/978-3-540-24593-3_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20681-1

  • Online ISBN: 978-3-540-24593-3

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