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2008
IEEE

Empirical-based probabilistic upper bounds for urgent computing applications

14 years 6 months ago
Empirical-based probabilistic upper bounds for urgent computing applications
—Scientific simulation and modeling often aid in making critical decisions in such diverse fields as city planning, severe weather prediction and influenza modeling. In some of these situations the computations operate under strict deadlines, after which point the results may have very little value. In these cases of urgent computing, it is imperative that these computations begin execution as quickly as possible. The Special PRiority and Urgent Compute Environment (SPRUCE) is a framework designed to enable these high priority computations to quickly access computational Grid resources through elevated batch queue priority. However, participating resources are allowed to decide locally how to respond to urgent requests. For instance, some may offer next-to-run status while others may preempt currently executing jobs to clear off the necessary nodes. However, the user is still faced with the problem of resource selection – namely, which resource (and corresponding urgent computin...
Nick Trebon, Peter H. Beckman
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where CLUSTER
Authors Nick Trebon, Peter H. Beckman
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