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CCGRID
2004
IEEE
14 years 9 days ago
Predicting job start times on clusters
In a Computational Grid which consists of many computer clusters, job start time predictions are useful to guide resource selections and balance the workload distribution. However...
Hui Li, David L. Groep, Jeffrey Templon, Lex Wolte...
COREGRID
2007
Springer
14 years 2 months ago
Co-Allocating Compute and Network Resources
Distributed applications or workflows need to access and use compute, storage and network resources simultaneously or chronologically coordinated respectively. Examples are distri...
Thomas Eickermann, Lidia Westphal, Oliver Wäl...
JSSPP
2005
Springer
14 years 2 months ago
ScoPred-Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Data
Using historical information to predict future runs of parallel jobs has shown to be valuable in job scheduling. Trends toward more flexible jobscheduling techniques such as adapt...
Benjamin J. Lafreniere, Angela C. Sodan
IISWC
2006
IEEE
14 years 2 months ago
Predicting Bounds on Queuing Delay in Space-shared Computing Environments
Most space-sharing resources presently operated by high performance computing centers employ some sort of batch queueing system to manage resource allocation to multiple users. In...
John Brevik, Daniel Nurmi, Richard Wolski
HPDC
2010
IEEE
13 years 8 months ago
Toward high performance computing in unconventional computing environments
Parallel computing on volatile distributed resources requires schedulers that consider job and resource characteristics. We study unconventional computing environments containing ...
Brent Rood, Nathan Gnanasambandam, Michael J. Lewi...