Advertisement
Published in:
2006 | OriginalPaper | Chapter
Scalable Resources Portfolio Selection with Fairness Based on Economical Methods
Authors : Yu Hua, Dan Feng, Chanle Wu
Published in: Ubiquitous Intelligence and Computing
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.