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A Generalized Linear Programming Based Approach to Optimal Divisible Load Scheduling

  • D. Ghose
  • H. J. Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4317)

Abstract

In this paper we propose a general Linear Programming (LP) based formulation and solution methodology for obtaining optimal solution to the load distribution problem in divisible load scheduling. We exploit the power of the versatile LP formulation to propose algorithms that yield exact solutions to several very general load distribution problems for which either no solutions or only heuristic solutions were available. We consider both star (single-level tree) networks and linear daisy chain networks, having processors equipped with front-ends, that form the generic models for several important network topologies. We consider arbitrary processing node availability or release times and general models for communication delays and computation time that account for constant overheads such as start up times in communication and computation. The optimality of the LP based algorithms is proved rigorously.

Keywords

Release Time Linear Programming Problem Load Distribution Timing Diagram Linear Programming Formulation 
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 2006

Authors and Affiliations

  • D. Ghose
    • 1
  • H. J. Kim
    • 2
  1. 1.Department of Aerospace EngineeringIndian Institute of ScienceBangaloreIndia
  2. 2.CISTKorea UniversitySeoulSouth Korea

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