Abstract
The execution of data intensive Grid applications still raises several questions regarding job scheduling, data migration and replication. This article presents new scheduling algorithms using complex job behavior descriptions that allow estimating job completion times more precisely thus improving scheduling decisions. Three approaches of using complex, re-fined job descriptions are discussed: a) single job description, b) multiple job descriptions, c) multiple job descriptions with mutation. The proposed Grid middleware components (1) monitor the execution of jobs and gather resource access information, (2) analyze the compiled information and generate a description of the behavior of the job, (3) refine the already existing job description, and (4) use the refined behavior description to schedule the submitted jobs.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Grid and High Performance Computing
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.
