• DocumentCode
    2746776
  • Title

    A constraint language approach to matchmaking

  • Author

    Liu, Chuang ; Foster, Ian

  • Author_Institution
    Dept. of Comput. Sci., Chicago Univ., IL, USA
  • fYear
    2004
  • fDate
    28-29 March 2004
  • Firstpage
    7
  • Lastpage
    14
  • Abstract
    The need to discover and select entities that match specified requirements arises in many contexts in distributed systems. Meeting this need is complicated by the fact that not only may the potential consumer specify constraints on resources, but the owner of the entity in question may specify constraints on the consumer. This observation has motivated Raman et al. to propose that discovery and selection be implemented as symmetric matching process, an approach they take in their ClassAds system. We present here a new approach to symmetric matching that achieves significant advances in expressivities relative to the current ClassAds - for example, allowing for multi-way matches, expression and location of resource with negotiable capability. The key to our approach is that we reinterpret matching as a constraint problem and exploit constraint-solving technologies to implement matching operations. We have prototyped a matchmaking mechanism, named Redline, and used it to model and solve several challenging matching problems.
  • Keywords
    constraint handling; data mining; grid computing; information resources; ClassAds system; Redline; constraint language approach; constraint-solving technologies; distributed systems; entity discovery; matchmaking; multiway matches; resource constraint specification; resource location; symmetric matching process; Conferences; Data engineering; Electronic government; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research Issues on Data Engineering: Web Services for e-Commerce and e-Government Applications, 2004. Proceedings. 14th International Workshop on
  • Print_ISBN
    0-7695-2095-2
  • Type

    conf

  • DOI
    10.1109/RIDE.2004.1281697
  • Filename
    1281697