Mixed-criticality scheduling to minimize makespan
In the mixed-criticality job model, each job is characterized by two execution time parameters, representing a smaller (less conservative) estimate and a larger (more conservative) estimate on its actual, unknown, execution time. Each job is further classified as being either less critical or more c...
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sg-ntu-dr.10356-899582020-03-07T11:49:00Z Mixed-criticality scheduling to minimize makespan Guo, Zhishan Easwaran, Arvind Baruah, Sanjoy School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering Mixed Criticality Scheduling In the mixed-criticality job model, each job is characterized by two execution time parameters, representing a smaller (less conservative) estimate and a larger (more conservative) estimate on its actual, unknown, execution time. Each job is further classified as being either less critical or more critical. The desired execution semantics are that all jobs should execute correctly provided all jobs complete upon being allowed to execute for up to the smaller of their execution time estimates, whereas if some jobs need to execute beyond their smaller execution time estimates (but not beyond their larger execution time estimates), then only the jobs classified as being more critical are required to execute correctly. The scheduling of collections of such mixed-criticality jobs upon identical multiprocessor platforms in order to minimize the makespan is considered here. MOE (Min. of Education, S’pore) Published version 2018-12-21T05:17:40Z 2019-12-06T17:37:27Z 2018-12-21T05:17:40Z 2019-12-06T17:37:27Z 2016 Journal Article Baruah, S., Easwaran, A., & Guo, Z. (2016). Mixed-criticality scheduling to minimize makespan. Leibniz International Proceedings in Informatics, 65, 7-. doi:10.4230/LIPIcs.FSTTCS.2016.7 https://hdl.handle.net/10356/89958 http://hdl.handle.net/10220/47171 10.4230/LIPIcs.FSTTCS.2016.7 en Leibniz International Proceedings in Informatics © 2016 Sanjoy Baruah, Arvind Easwaran, and Zhishan Guo; licensed under Creative Commons License CC-BY 13 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering Mixed Criticality Scheduling Guo, Zhishan Easwaran, Arvind Baruah, Sanjoy Mixed-criticality scheduling to minimize makespan |
description |
In the mixed-criticality job model, each job is characterized by two execution time parameters, representing a smaller (less conservative) estimate and a larger (more conservative) estimate on its actual, unknown, execution time. Each job is further classified as being either less critical or more critical. The desired execution semantics are that all jobs should execute correctly provided all jobs complete upon being allowed to execute for up to the smaller of their execution time estimates, whereas if some jobs need to execute beyond their smaller execution time estimates (but not beyond their larger execution time estimates), then only the jobs classified as being more critical are required to execute correctly. The scheduling of collections of such mixed-criticality jobs upon identical multiprocessor platforms in order to minimize the makespan is considered here. |
author2 |
School of Computer Science and Engineering |
author_facet |
School of Computer Science and Engineering Guo, Zhishan Easwaran, Arvind Baruah, Sanjoy |
format |
Article |
author |
Guo, Zhishan Easwaran, Arvind Baruah, Sanjoy |
author_sort |
Guo, Zhishan |
title |
Mixed-criticality scheduling to minimize makespan |
title_short |
Mixed-criticality scheduling to minimize makespan |
title_full |
Mixed-criticality scheduling to minimize makespan |
title_fullStr |
Mixed-criticality scheduling to minimize makespan |
title_full_unstemmed |
Mixed-criticality scheduling to minimize makespan |
title_sort |
mixed-criticality scheduling to minimize makespan |
publishDate |
2018 |
url |
https://hdl.handle.net/10356/89958 http://hdl.handle.net/10220/47171 |
_version_ |
1681046679142268928 |