Abstract
In a heterogeneous grid environment, there are two major factors which would severely affect overall system performance: speed heterogeneity and resource fragmentation. Moreover, the relative effect of these two factors changes with different workload and resource conditions. Processor allocation methods have to deal with this issue. However, most existing allocation methods focus on one of these two factors. This paper first analyzes the relative strength of different existing methods. Based on the analysis, we propose an intelligent processor allocation method which considers both the speed heterogeneity and resource fragmentation effects. Extensive simulation studies have been conducted to show that the proposed method can effectively deliver better performance under most resource and workload conditions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.