21. Cooperative Game-Theory-Based Cost Optimization for Scientific Workflows

  1. Rajkumar Buyya PhD2,3 and
  2. Kris Bubendorfer PhD4
  1. Radu Prodan and
  2. Rubing Duan

Published Online: 17 NOV 2009

DOI: 10.1002/9780470455432.ch21

Market-Oriented Grid and Utility Computing

Market-Oriented Grid and Utility Computing

How to Cite

Prodan, R. and Duan, R. (2009) Cooperative Game-Theory-Based Cost Optimization for Scientific Workflows, in Market-Oriented Grid and Utility Computing (eds R. Buyya and K. Bubendorfer), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470455432.ch21

Editor Information

  1. 2

    The University of Melbourne and Manjrasoft Pty Ltd, Australia

  2. 3

    Department of Computer Science and Software Engineering, The University of Melbourne, Parkville, Melbourne, VIC 3010, Australia

  3. 4

    School of Mathematics, Statistics, and Computer Science, Victoria University of Wellington, Kelburn Parade, Wellington, New Zealand

Author Information

  1. Institut föur Informatik, Universitöat Innsbruck, Technikerstraße 21a, A-6020 Innsbruck, Austria

Publication History

  1. Published Online: 17 NOV 2009
  2. Published Print: 12 OCT 2009

Book Series:

  1. Wiley Series on Parallel and Distributed Computing

Book Series Editors:

  1. Albert Y. Zomaya

ISBN Information

Print ISBN: 9780470287682

Online ISBN: 9780470455432

SEARCH

Keywords:

  • cooperative game-theory based cost optimization for scientific workflows;
  • cost optimization algorithm, named Game-cost;
  • cost optimization convergence process

Summary

This chapter contains sections titled:

  • Introduction

  • Background and Related Work

  • Model

  • Cost Optimization

  • Experimental Results

  • Visionary Thoughts for Practitioners

  • Future Research Directions

  • Conclusions

  • References