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ARPP: Ant Colony Algorithm Based Resource Performance Prediction Model

  • Ce Yu
  • Kelang Xiong
  • Jizhou Sun
  • Yanyan Huang
  • Jian Xiao
Conference paper
  • 545 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6083)

Abstract

Resource performance prediction is the basis of dynamic load balance in distributed computing. A model for resource performance prediction named ARPP is introduced and carried out. ARPP model monitors key parameters of resources and estimates the directions using ant algorithm. The implement and analysis of ARPP is based on GridSim simulator and the process of astronomical image mosaicking application. The experiment result shows the efficiency of the model and the determination of optimized parameters.

Keywords

Ant algorithm Performance prediction Dynamic load balance Distributed computing 

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Ce Yu
    • 1
  • Kelang Xiong
    • 1
  • Jizhou Sun
    • 1
  • Yanyan Huang
    • 2
  • Jian Xiao
    • 1
  1. 1.School of Computer Science & TechnologyTianjin UniversityTianjinChina
  2. 2.Network CenterHebei University of TechnologyTianjinChina

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