The STUDIA UNIVERSITATIS BABE┼×-BOLYAI issue article summary

The summary of the selected article appears at the bottom of the page. In order to get back to the contents of the issue this article belongs to you have to access the link from the title. In order to see all the articles of the archive which have as author/co-author one of the authors mentioned below, you have to access the link from the author's name.

    STUDIA INFORMATICA - Issue no. 2 / 2011  

Authors:  .

Selecting the appropriate scheduling algorithm in distributed heterogeneous systems is a difficult problem. In order to avoid an exhaustive search it is possible to design an automatic selection procedure based on a classification model trained using various characteristics of the tasks to be scheduled. This paper presents a comparative study on the effectiveness of several classification models used to select an effective algorithm for a given scheduling problem. The main contribution of the paper is the hybrid classifier based on non-nested generalized exemplars and an evolutionary selection of attributes and exemplars. The experiments show the ability of the proposed hybrid classifier to identify the appropriate scheduling algorithm when new configurations arrive to the grid scheduler.

Key words and phrases. grid scheduler, evolutionary pruning, non-nested generalized exemplars, classification.

      Back to previous page