“Exploiting Tuple Spaces to Provide Fault-Tolerant Scheduling on Computational Grids”

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{{Publication
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|title=
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|type=inproceedings
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|title=Exploiting Tuple Spaces to Provide Fault-Tolerant Scheduling on Computational Grids
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|author=Fabio Favarim, Joni Fraga, Lau Cheuk Lung, Miguel Correia, João Santos
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|month=may
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|year=2007
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|abstract=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.
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        Exploiting Tuple Spaces to Provide Fault-Tolerant Scheduling on Computational Grids
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|booktitle=In Proceedings of the 10th IEEE International Symposium on Object and component-oriented Real-time distributed Computing (ISORC). May 2007.
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|author=
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|url=http://www.navigators.di.fc.ul.pt/archive/favarim-ExploitingTupleSpace.pdf
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        Fabio Favarim, Joni Fraga, Lau Cheuk Lung, Miguel Correia, João Santos
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|url=
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        docs/abstracts/gridts-isorc.html
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|abstract=
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|type=
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        inproceedings
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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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|month=
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        may
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|year=
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        2007
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        Fault And Intrusion Tolerance in Open Distributed Systems (FIT)
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Latest revision as of 18:18, 14 January 2013

Fabio Favarim, Joni Fraga, Lau Cheuk Lung, Miguel Correia, João Santos

in In Proceedings of the 10th IEEE International Symposium on Object and component-oriented Real-time distributed Computing (ISORC). May 2007., May 2007.

Abstract: 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.

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