Scalable resources portfolio selection with fairness based on economical methods

Abstract

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. © Springer-Verlag Berlin Heidelberg 2006.