Distributed Code and Data Propagation Algorithm for Longest Common Subsequence Problem Solving

  • Authors:
  • Dariusz Król;Grzegorz Stanisław Kukla

  • Affiliations:
  • Wrocław University of Technology, Institute of Applied Informatics, Wybrzeże S. Wyspiańskiego 27, 50-370 Wrocław, Poland;Wrocław University of Technology, Institute of Applied Informatics, Wybrzeże S. Wyspiańskiego 27, 50-370 Wrocław, Poland

  • Venue:
  • KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
  • Year:
  • 2007

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Abstract

This paper proposes a distributed code and data propagation algorithm for Longest Common Subsequence problem solving and compares this algorithm performance against the algorithm based on J2EE technology. The new algorithm builds a graph devised to propagate classes and data between different nodes and the client, whereas the J2EE algorithm requires more complex communication and database processing. The proposed algorithm's performance in terms of number of nodes and execution time is better than or comparable to that of the existing algorithms.