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Abstract 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.
Author Fabio Favarim + , Joni Fraga + , Lau Cheuk Lung + , Miguel Correia + , João Santos +
Booktitle In Proceedings of the 10th IEEE International Symposium on Object and component-oriented Real-time distributed Computing (ISORC). May 2007.  +
Key Fabio-favarim2007exploiting-tuple-190  +
Missing ResearchLine  +
Month may  +
NumPubDate 2,007.05  +
Title Exploiting Tuple Spaces to Provide Fault-Tolerant Scheduling on Computational Grids  +
Type inproceedings  +
Url  +
Year 2007  +
Categories Publication  +
Modification dateThis property is a special property in this wiki. 14 January 2013 18:18:04  +
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