Scalable Resources Portfolio Selection with Fairness Based on Economical Methods

  • Yu Hua
  • Dan Feng
  • Chanle Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4159)


The fairness of scheduling resources are important to improve the whole performance. In this paper, we study the economy-based approach, i.e., portfolio selection, to realize the dynamic allocation of distributed and heterogeneous resources. The portfolio selection method emphasizes the mean-variance model, which can evaluate the final return and help the scheduler to adjust the allocation policy. We present the practical algorithms for network nodes and Bloom filter-based surveillance, which can support the efficient adjustment of a scheduler.


Hash Function Network Node Portfolio Optimization Portfolio Selection Request Message 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yu Hua
    • 1
  • Dan Feng
    • 1
  • Chanle Wu
    • 2
  1. 1.School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhanChina
  2. 2.School of ComputerWuhan UniversityWuhanChina

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