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Meta-scheduling
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11	Ensuring Fairness Among Participating Clusters During Multi-site Parallel Job Scheduling William M. Jones† and Walter B. Ligon, III Electrical and Computer Engineering Department Clemson University 105 Riggs Hall, Clem Add to Reading List Source URL: www.parl.clemson.edu Language: English - Date: 2006-07-13 16:47:50 Job scheduling Grid computing Cluster computing Job scheduler Scheduling Computer cluster Job queue Meta-scheduling Concurrent computing Computing Parallel computing
12	Bandwidth-aware Co-allocating Meta-schedulers for Mini-grid Architectures ∗ William M. Jones† Louis W. Pang† Add to Reading List Source URL: www.parl.clemson.edu Language: English - Date: 2004-07-14 10:30:38 Scheduling algorithms Computer cluster Scheduling Job scheduler Distributed computing Grid computing Computing Concurrent computing Parallel computing
13	Gridbus Broker: A Scheduler for Automatic Deployment of Applications on Global Grids Staff: Rajkumar Buyya, Srikumar Venugopal, Xingchen Chu Students: Marcos Dias de Assunção, Saurabh Garg Grid Computing and Distribute Add to Reading List Source URL: www.cloudbus.org Language: English - Date: 2007-08-28 05:57:55 Computer architecture Job scheduling Cluster computing Xgrid Job scheduler Meta-scheduling Globus Toolkit Oracle Grid Engine Concurrent computing Grid computing Computing
14	Adaptive Co-Allocation of Distributed Resources for Parallel Applications by Marco Aur´elio Stelmar Netto Add to Reading List Source URL: www.cloudbus.org Language: English - Date: 2010-02-16 04:42:19 Operations research Scheduling algorithms Grid computing Scheduling Cloud computing Computer cluster Meta-scheduling Computing Concurrent computing Planning
15	Job Communication Characterization and its Impact on Meta-scheduling Co-allocated Jobs in a Mini-grid William M. Jones Louis W. Pang Dan Stanzione Walter B. Ligon III Add to Reading List Source URL: www.parl.clemson.edu Language: English - Date: 2004-04-26 17:26:02 Parallel computing Grid computing Operations research Meta-scheduling Job scheduler Computer cluster Scheduling L4 microkernel family Computing Concurrent computing Computer architecture
16	Computational Mini-Grid Research at Clemson University Parallel Architecture Research Lab November 19, 2002 Project Description The concept of grid computing is becoming a more and more important one in the high performa Add to Reading List Source URL: www.parl.clemson.edu Language: English - Date: 2004-03-31 09:32:35 Computer architecture Parallel computing Cluster computing Grid computing Scheduling Computer cluster Meta-scheduling Portable Batch System Maui Cluster Scheduler Concurrent computing Computing Job scheduling
17	IMPROVING PARALLEL JOB SCHEDULING PERFORMANCE IN MULTI-CLUSTERS THROUGH SELECTIVE JOB CO-ALLOCATION A Dissertation Presented to Add to Reading List Source URL: www.parl.clemson.edu Language: English - Date: 2005-11-17 18:45:01 Grid computing Job scheduling Job scheduler Scheduling Computer cluster Meta-scheduling Concurrent computing Computing Parallel computing
18	Characterization of Bandwidth-aware Meta-schedulers for Co-allocating Jobs Across Multiple Clusters William M. Jones† Add to Reading List Source URL: www.parl.clemson.edu Language: English - Date: 2005-09-01 21:54:47 Computer cluster Scheduling Computing Concurrent computing Parallel computing
19	Dan Stanzione and Walt Ligon META-SCHEDULING FOR MINI-GRIDS Computational Mini-Grids DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING Add to Reading List Source URL: www.parl.clemson.edu Language: English - Date: 2004-07-16 12:11:10 Cluster computing Job scheduling Grid computing Meta-scheduling Scheduling Computer cluster Beowulf cluster Oracle Grid Engine Concurrent computing Computing Parallel computing
20	Job Communication Characterization and its Impact on Meta-scheduling Co-allocated Jobs in a Mini-grid William M. Jones† Add to Reading List Source URL: www.parl.clemson.edu Language: English - Date: 2004-07-14 10:29:58 Job scheduler Computer cluster Scheduling Grid computing Bandwidth Computing Concurrent computing Parallel computing