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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Scalable Resources Portfolio Selection with Fairness Based on Economical Methods
verfasst von : Yu Hua, Dan Feng, Chanle Wu
Erschienen in: Ubiquitous Intelligence and Computing
Verlag: Springer Berlin Heidelberg
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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.