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Analysis of Two Phase Scheduling Within Distributed System for Enhancement of Makespan and Flowtime

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  • Jasjit Singh
  • Anil Kumar

Abstract

The primary aim of task scheduling is to allocate tasks to accessible processors to deliver least schedule length without compromising the priority limitations. In distributed system environment the load is distributed among different servers because they have its own resources. Even though, number of scheduling algorithms is available for solving task scheduling algorithms. In our proposed paper we use two phase scheduling techniques for real time distributed systems. The first phase helps in producing scheduling sequence and second phase aims to dispatch tasks to different nodes in network. Our approach provides high flexibility so that developer can apply multiple policies in each phase. Both the phases are independent so that changes in one phase did not impact the other phase. We implement the first phase with three sorting techniques and second phase having two scheduling techniques. our approach also uses EDF (Earliest Dead line first ) and AEAP ( As early as Possible) leads to an optimized performance.

Suggested Citation

  • Jasjit Singh & Anil Kumar, 2018. "Analysis of Two Phase Scheduling Within Distributed System for Enhancement of Makespan and Flowtime," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 1630-1636, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit1833604
    Note: Article URL: https://ijsrcseit.com/CSEIT1833604
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