| Abstract
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Scheduling tasks on large-scale computatio … Scheduling tasks on large-scale computational grids is difficult due to the heterogeneous computational capabilities of the resources, node unavailability and unreliable network connectivity. This work proposes GRIDTS, a grid infrastructure in which the resources select the tasks they execute, instead of a scheduler finding resources for the tasks. This solution allows scheduling decisions to be made with up-to-date information about the resources. Moreover, GRIDTS provides fault-tolerant scheduling by combining a set of fault tolerance techniques to tolerate crash faults in components of the system. The core of the solution is a tuple space, which supports the communication, but also provides support for the fault tolerance mechanisms. upport for the fault tolerance mechanisms.
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| Author
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Fabio Favarim +
, Joni Fraga +
, Lau Cheuk Lung +
, Miguel Correia +
, João Santos +
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| Booktitle
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In Proceedings of the 10th IEEE International Symposium on Object and component-oriented Real-time distributed Computing (ISORC). May 2007. +
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| Key
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Fabio-favarim2007exploiting-tuple-190 +
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| Missing
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ResearchLine +
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| Month
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may +
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| NumPubDate
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2,007.05 +
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| Title
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Exploiting Tuple Spaces to Provide Fault-Tolerant Scheduling on Computational Grids +
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| Type
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inproceedings +
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| Url
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http://www.navigators.di.fc.ul.pt/archive/favarim-ExploitingTupleSpace.pdf +
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| Year
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2007 +
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| Categories |
Publication +
|
| Modification dateThis property is a special property in this wiki.
|
14 January 2013 18:18:04 +
|
