VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
Unibus-managed Execution of Scientific Applications on Aggregated Clouds
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
BTS: Resource capacity estimate for time-targeted science workflows
Journal of Parallel and Distributed Computing
Formal QoS Policy Based Grid Resource Provisioning Framework
Journal of Grid Computing
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As a variety of science applications are integrated with large-scale HPDC (High Performance Distributed Com-puting) technologies, timely resource allocation is re-vealed as a critical requirement to be considered. This paper introduces a new HPDC resource management paradigm named resource slot which defines a network of logical machines across time and space. A resource slot is not only a resource programming target but also a virtualized resource provisioning framework for a variety of resource management paradigms by encapsulating the resource management complexity. Especially, we present a resource provisioning technique named guided redun-dant submission (GRS), which probabilistically guarantees a timely resource slot allocation. Experimental results performed against 8 clusters in production show that about 5 redundant resources per slot can secure slot allo-cation with up to 36 logical machines, each cluster having an availability probability as low as 0.25 and the target success probability of slot allocation is 0.95.