Algorithms for a Job-Scheduling Problem within a Parallel Digital Library

  • Authors:
  • Norbert Sensen

  • Affiliations:
  • -

  • Venue:
  • ICPP '99 Proceedings of the 1999 International Conference on Parallel Processing
  • Year:
  • 1999

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Abstract

In this paper we examine a new scheduling problem that shows up in the construction of a parallel digital library. This library performs a large amount of operations on a huge amount of stored data items. As each single operation is sequential, the data items and the sequential operation have to "meet" on one processor. Thus, a scheduling and dynamic mapping problem has to be solved to optimize the overall throughput of the server system.We present a theoretical model of this new scheduling problem and analyze heuristics for it. These heuristics use greedy strategies and local search principles; their performance is valued comparing the results with a lower bound which bases on a lp-relaxation. We have done a large amount of experiments due to get knowledge of the behavior of the heuristics.