Decentralized Resource Availability Prediction for a Desktop Grid

Title
Decentralized Resource Availability Prediction for a Desktop Grid
Publication Date
2010
Author(s)
Ramachandran, Karthick
Lutfiyya, Hanan
Perry, Mark
( author )
OrcID: https://orcid.org/0000-0003-4251-3405
Email: mperry21@une.edu.au
UNE Id une-id:mperry21
Editor
Editor(s): Manish Parashar and Rajkumar Buyya
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Place of publication
Los Alamitos, United States of America
DOI
10.1109/CCGRID.2010.54
UNE publication id
une:13540
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.
Link
Citation
Proceedings of the 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid), p. 643-648
ISBN
9780769540399
9781424469871
Start page
643
End page
648

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