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» On Advantages of Grid Computing for Parallel Job Scheduling
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PPOPP
2006
ACM
14 years 1 months ago
Predicting bounds on queuing delay for batch-scheduled parallel machines
Most space-sharing parallel computers presently operated by high-performance computing centers use batch-queuing systems to manage processor allocation. In many cases, users wishi...
John Brevik, Daniel Nurmi, Richard Wolski
CCGRID
2010
IEEE
13 years 5 months ago
File-Access Characteristics of Data-Intensive Workflow Applications
This paper studies five real-world data intensive workflow applications in the fields of natural language processing, astronomy image analysis, and web data analysis. Data intensiv...
Takeshi Shibata, SungJun Choi, Kenjiro Taura
DEBU
2011
12 years 11 months ago
Integrating Renewable Energy Using Data Analytics Systems: Challenges and Opportunities
The variable and intermittent nature of many renewable energy sources makes integrating them into the electric grid challenging and limits their penetration. The current grid requ...
Andrew Krioukov, Christoph Goebel, Sara Alspaugh, ...
ESCIENCE
2007
IEEE
14 years 2 months ago
Model-Driven Simulation of Grid Scheduling Strategies
Simulation studies of Grid scheduling strategies require representative workloads to produce dependable results. Real production Grid workloads have shown diverse correlation stru...
Hui Li, Rajkumar Buyya
CCGRID
2003
IEEE
14 years 1 months ago
GridFlow: Workflow Management for Grid Computing
Grid computing is becoming a mainstream technology for large-scale distributed resource sharing and system integration. Workflow management is emerging as one of the most importan...
Junwei Cao, Stephen A. Jarvis, Subhash Saini, Grah...