Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/13328
Title: Decentralized Resource Availability Prediction for a Desktop Grid
Contributor(s): Ramachandran, Karthick (author); Lutfiyya, Hanan (author); Perry, Mark  (author)orcid 
Publication Date: 2010
DOI: 10.1109/CCGRID.2010.54
Handle Link: https://hdl.handle.net/1959.11/13328
Abstract: In a desktop grid model, the job (computational task) is submitted for execution in the resource only when the resource is idle. There is no guarantee that the job which has started to execute in a resource will complete its execution without any disruption from user activity (such as a keyboard stroke or mouse move) if the desktop machines are used for other purposes. This problem becomes more challenging in a Peer-to-Peer (P2P) model for a desktop grid where there is no central server that decides to allocate a job to a particular resource. This paper describes a P2P desktop grid framework that utilizes resource availability prediction. We improve the functionality of the system by submitting the jobs on machines that have a higher probability of being available at a given time. We benchmark our framework and provide an analysis of our results.
Publication Type: Conference Publication
Conference Name: CCGrid 2010: 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, Melbourne, Australia, 17th - 20th May, 2010
Conference Details: CCGrid 2010: 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, Melbourne, Australia, 17th - 20th May, 2010
Source of Publication: Proceedings of the 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid), p. 643-648
Publisher: IEEE: Institute of Electrical and Electronics Engineers
Place of Publication: United States of America
Field of Research (FOR): 080503 Networking and Communications
080505 Web Technologies (excl Web Search)
080501 Distributed and Grid Systems
Socio-Economic Outcome Codes: 890204 Computer Time Leasing, Sharing and Renting Services
949999 Law, Politics and Community Services not elsewhere classified
890199 Communication Networks and Services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
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