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Using Consensus Methods for Solving Conflicts of Data in Distributed Systems

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1963))

Abstract

By a data conflict in distributed systems we understand a situation (or a state of the system)in which the system sites generate and store different versions of data which refer to the same matter (problem solution, event scenario etc.). Thus in purpose to solve this problem the management system should determine one proper version for the data. The final data version is called a consensus of given versions. In this paper for given conflict situation we propose to solve a consensus problem by determining a consensus function. We present a consensus model, the postulates for consensus choice functions, their analysis and some numerical example.

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References

  1. K.J. Arrow: Social Choice and Individual Values. Wiley New York (1963). 412

    Google Scholar 

  2. N. Badache, M. Hurfin, R. Madeco: Solving the Consensus Problem in a Mobile Environment. In: Proceedings of IEEE International Performance, Computing and Communications Conference. IEEE Piscataway NJ (1999)29–35. 413

    Google Scholar 

  3. G. Coulouris, J. Dollimore, T. Kindberg: Distributed ystems, Concepts and Design. Addison Wesley (1996). 412

    Google Scholar 

  4. C. Daniłowicz, N. T. Nguyen: Consensus-Based Partition in the Space of Ordered Partitions. Pattern Recognition 21 (1988)269–273. 412

    Article  MATH  MathSciNet  Google Scholar 

  5. C. Daniłowicz, N. T. Nguyen: Consensus-Based Methods for Restoring Consistency of Replicated Data. In: M. Kłopotek et.al.(eds.): Advances in Soft Computing. Physica-Verlag Heidelberg New York (2000)325–336. 412

    Google Scholar 

  6. W. H. E. Day: Consensus Methods as Tools for Data Analysis. In: H. H. Bock (ed.): Classification and Related Methods for Data Analysis. North-Holland (1988)312–324. 412

    Google Scholar 

  7. E. Ephrati, J. Rosenschein: Deriving Consensus in Multiagent ystems. Artificial Intelligence 87 (1998)21–74. 412

    Article  MathSciNet  Google Scholar 

  8. M. Hurfin, A. Mostefaoui, M. Raynal: Consensus in Asynchronous Systems where Processes Can Crash and Recover. In: Proceedings of eventeenth IEEE ymposium on Reliable Distributed Systems. IEEE Comput. Soc. Los Alamitos CA (1998). 413

    Google Scholar 

  9. M. Kamel: Identifying, Classifying, and Resolving emantic Conflicts in Distributed Heterogeneous Databases. Journal of Database Management 6 (1994)20–32. 412

    Google Scholar 

  10. N. T. Nguyen: A Computer-Based Multiagent System for Building and Updating Models of Dynamic Populations Located in Distributed Environments, in: E. K ⇂cki (ed.): Proceeding of 5th ICCM. Lodz University of Technology Press (1999)133–138. 412

    Google Scholar 

  11. N. T. Nguyen: Using Consensus Methods for Determining the Representation of Expert Information in Distributed ystems. To appear in:. S. Cerri (ed.): Proceedings of 9th International Conference on Artificial Intelligence AIMSA’ 2000, Lecture Notes on Artificial Intelligence (2000), pringer-Verlag. 412

    Google Scholar 

  12. N. T. Nguyen: Consensus Methods for Resolving Conflict Situations in Distributed Information ystems. Reports of Department of Information ystems, series: PR, No.29, Wroc law University of Technology (2000). 418

    Google Scholar 

  13. T. M. Ozsu: Principles of Distributed Database ystems. Prentice-Hall (1991). 412

    Google Scholar 

  14. K. Q. Yan, S. C. Wang, Y. H. Chin: Consensus under Unreliable Transmission. Information Processing Letter 69 (1999), 243–248. 413

    Article  MATH  MathSciNet  Google Scholar 

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© 2000 Springer-Verlag Berlin Heidelberg

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Nguyen, N.T. (2000). Using Consensus Methods for Solving Conflicts of Data in Distributed Systems. In: Hlaváč, V., Jeffery, K.G., Wiedermann, J. (eds) SOFSEM 2000: Theory and Practice of Informatics. SOFSEM 2000. Lecture Notes in Computer Science, vol 1963. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44411-4_30

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  • DOI: https://doi.org/10.1007/3-540-44411-4_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41348-6

  • Online ISBN: 978-3-540-44411-4

  • eBook Packages: Springer Book Archive

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