Co-working and management of federated information-clusters

  • M. Wiedijk
  • H. Afsarmanesh
  • L. O. Hertzberger
CSCW and Work Flow Systems
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1134)


This paper presents a facility for definition and management of federated clusters of interrelated information. In a co-working environment, team members need to exchange information in order to coordinate their tasks execution, where typically the information is distributed over several cooperating autonomous systems. The co-working facility described in this paper supports the sharing and exchange of federated information among systems, and the access to structured clusters as single complex entities. The support for management of federated information-clusters, the cooperation workspaces, and the extended local schema are innovative mechanisms being developed as a part of the integration facility of PEER federated object-oriented information management system. An example from the manufacturing application domain namely, the layout optimization, is chosen for this paper to represent several features of the co-working facility. This application supports four kinds of expert systems that cooperate and exchange complex and structured information in order to coordinate their interrelated tasks. Each expert system plays a part in layout design and in the optimization of piece allocations on plates of raw material. The paper presents the schema definition of a cooperation workspace for these expert systems.


co-working environments information-cluster management cooperation workspace federated object-oriented information management manufacturing systems 


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  1. 1.
    H. Afsarmanesh, F. Tuijnman, M. Wiedijk, and L.O. Hertzberger. Distributed Schema Management in a Cooperation Network of Autonomous Agents. In Proceedings of the 4th IEEE International Conference on ”Database and Expert Systems Applications DEXA'93”, Lecture Notes in Computer Science (LNCS) 720, pages 565–576. Springer Verlag, September 1993.Google Scholar
  2. 2.
    H. Afsarmanesh, M. Wiedijk, and L.O. Hertzberger. Flexible and Dynamic Integration of Multiple Information Bases. In Proceedings of the 5th IEEE International Conference on ”Database and Expert Systems Applications DEXA'94”, Athens, Greece, Lecture Notes in Computer Science (LNCS) 856, pages 744–753. Springer Verlag, September 1994.Google Scholar
  3. 3.
    H. Afsarmanesh, M. Wiedijk, L.O. Hertzberger, F.J. Negreiros Gomes, A. Provedel, R.C. Martins, and E.O.T. Salles. A Federated Cooperation Architecture for Expert Systems Involved in Layout Optimization. In Proceedings of the IEEE/ECLA/IFIP International Conference on Architecture and Design Methods for Balanced Automation Systems BASYS'95, Vitoria, Brazil, pages 287–300, July 1995.Google Scholar
  4. 4.
    H. Afsarmanesh, M. Wiedijk, F.J. Negreiros, R.C. Lopes, and R.C. Martins. Integration of an Optimization Expert System within a CIM Distributed Database System. Journal of the Brazilian Society of Mechanical Sciences, 16(3):318–327, December 1994.Google Scholar
  5. 5.
    Paolo Atzeni, Luca Cabibbo, and Gianslavatore Mecca. IsaLog: A declarative language for complex object with hierarchies. In Proceedings of the International Conference on Data Engineering, pages 219–228, 1993.Google Scholar
  6. 6.
    Kenneth Baclawski and Dan A. Simovici. An algebraic approach to databases with complex objects. Information Systems, 17(1):33–47, 1992.CrossRefGoogle Scholar
  7. 7.
    Theo Härder, Bernhard Mitschang, and Harald Schöning. Query processing for complex objects. Data & Knowledge Engineering, 7(3):181–200, 1991.Google Scholar
  8. 8.
    W. Kim, E. Bertino, and J.F. Garza. Composite Objects Revisited. In Proceedings of ACM SIGMOD International Conference on the Management of Data, Portland, Oregon, June 1989.Google Scholar
  9. 9.
    R. Lorie and W. Plouffe. Complex Objects and Their Use in Design Transactions. In Proc. Databases for Engineering Applications, Database week 1983, ACM, New York, pages 115–121, 1983.Google Scholar
  10. 10.
    Wouter B. Teeuw and Henk M. Blanken. Joining distributed complex objects: Definition and performance. Data & Knowledge Engineering, 9(1):63–96, 1992.Google Scholar
  11. 11.
    F. Tuijnman and H. Afsarmanesh. Management of shared data in federated cooperative PEER environment. International Journal of Intelligent and Cooperative Information Systems (IJICIS), 2(4):451–473, December 1993.CrossRefGoogle Scholar
  12. 12.
    M. Wiedijk, H. Afsarmanesh, and L.O. Hertzberger. Handling Information-Clusters in PEER Federated Network. Technical Report CS-96-02, Faculty of Mathematics, Computer Science, Physics and Astronomy, University of Amsterdam, June 1996.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • M. Wiedijk
    • 1
  • H. Afsarmanesh
    • 1
  • L. O. Hertzberger
    • 1
  1. 1.Faculty of Mathematics, Computer Science, Physics, AstronomyUniversity of AmsterdamSJ AmsterdamThe Netherlands

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