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CORR
2007
Springer

Managing Uncertainty: A Case for Probabilistic Grid Scheduling

8 years 11 months ago
Managing Uncertainty: A Case for Probabilistic Grid Scheduling
The Grid technology is evolving into a global, service-orientated architecture – a universal platform for delivering future high demand computational services. Strong adoption of the Grid and the utility computing concept is leading to an increasing number of Grid installations running a wide range of applications of different size and complexity. In this paper we address the problem of delivering deadline/economy based scheduling in a heterogeneous application environment using statistical properties of job’s historical executions and its associated meta-data. This approach is motivated by a study of six-month computational load generated by Grid applications in a multi-purpose Grid cluster serving a community of twenty e-Science projects. The observed job statistics, resource utilisation and user behaviour is discussed in the context of management approaches and models most suitable for supporting a probabilistic and autonomous scheduling architecture.
Aleksandar Lazarevic, Lionel Sacks, Ognjen Prnjat
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2007
Where CORR
Authors Aleksandar Lazarevic, Lionel Sacks, Ognjen Prnjat
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