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Processing Time and Memory Requirements for Multi-instalment Divisible Job Processing

  • Paweł Wolniewicz
  • Maciej Drozdowski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2328)

Abstract

Divisible job model is a very efficient tool representing certain kind of distributed computations. It can be applied for jobs that can be divided into an arbitrary number of independent tasks. In this work we analyse a new type of communication that can shorten the schedule length and reduce memory requirements. Two types of multi-instalment processing models are taken into account; their influence on processing time and memory requirements is examined.

Keywords

Processing Time Memory Requirement Schedule Length Data Chunk Startup Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Paweł Wolniewicz
    • 1
  • Maciej Drozdowski
    • 2
  1. 1.Poznań Supercomputing and Networking CenterPoznańPoland
  2. 2.Poznań University of TechnologyPoznańPoland

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