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Dynamic scheduling of parallel real-time jobs by modelling spare capabilities in heterogeneous clusters
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He, Ligang, Jarvis, Stephen A., Spooner, Daniel P. and Nudd, G. R. (2003) Dynamic scheduling of parallel real-time jobs by modelling spare capabilities in heterogeneous clusters. In: IEEE International Conference on Cluster Computing, Hong Kong, China, 01-04 Dec 2003. Published in: 2003 IEEE International Conference on Cluster Computing, 2003. Proceedings. pp. 2-10. ISBN 0769520669. doi:10.1109/CLUSTR.2003.1253293
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Official URL: http://dx.doi.org/10.1109/CLUSTR.2003.1253293
Abstract
In this research, a scenario is assumed where periodic real-time jobs are being run on a heterogeneous cluster of computers, and new aperiodic parallel real-time jobs' modelled by Directed Acyclic Graphs (DAG), arrive at the system dynamically. In the scheduling scheme presented in this paper, a global scheduler situated within the cluster schedules new jobs onto the computers by modelling their spare capabilities left by, existing periodic jobs. Admission control is introduced so that new jobs are rejected if their deadlines cannot be met under the precondition of still guaranteeing the real-time requirements of existing jobs. Each computer within the cluster houses a local scheduler, which uniformly schedules both periodic job instances and the subtasks in the parallel real-time jobs using an Early Deadline First policy. The modelling of the spare capabilities is optimal in the sense that once a new task starts running on a computer, it will utilize all the spare capability left by the periodic real-time jobs and its finish time is the earliest possible. The performance of the proposed modelling approach and scheduling scheme is evaluated by extensive simulation; results show that the system utilization is significantly enhanced, while the real-time requirements of the existing jobs remain guaranteed.
| Item Type: | Conference Item (Paper) | ||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
| Divisions: | Faculty of Science > Computer Science | ||||
| Library of Congress Subject Headings (LCSH): | Heterogeneous computing, Parallel processing (Electronic computers), High performance computing | ||||
| Journal or Publication Title: | 2003 IEEE International Conference on Cluster Computing, 2003. Proceedings. | ||||
| Publisher: | IEEE | ||||
| ISBN: | 0769520669 | ||||
| Official Date: | 2003 | ||||
| Dates: |
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| Number of Pages: | 9 | ||||
| Page Range: | pp. 2-10 | ||||
| DOI: | 10.1109/CLUSTR.2003.1253293 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC), United States. National Aeronautics and Space Administration (NASA) | ||||
| Grant number: | GR/S03058/01 (EPSRC), GR/R47424/01 (EPSRC), N68171-01-C-9012 (USARDSG) | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | IEEE International Conference on Cluster Computing | ||||
| Type of Event: | Conference | ||||
| Location of Event: | Hong Kong, China | ||||
| Date(s) of Event: | 01-04 Dec 2003 |
Data sourced from Thomson Reuters' Web of Knowledge
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