DIANA scheduling hierarchies for optimizing bulk job scheduling

e-Science 2006 - Second IEEE International Conference on e-Science and Grid Computing

Volumn , Issue , 2006, Pages

  Anjum, Ashiq ^a,c   McClatchey, Richard ^a   Stockinger, Heinz ^b   Ali, Arshad ^c   Willers, Ian ^d   Thomas, Michael ^e   Sagheer, Muhammad ^c   Hasham, Khawar ^c   Alvi, Omer ^c  

^a UNIVERSITY OF THE WEST OF ENGLAND   (United Kingdom)

^b SWISS INSTITUTE OF BIOINFORMATICS   (Switzerland)

^c NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

^d CERN   (Switzerland)

^e CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED COMPUTER SYSTEMS; JOB ANALYSIS; OPTIMIZATION; RESOURCE ALLOCATION;

DIANA SCHEDULING HIERARCHIES; JOB SCHEDULING; LARGE-SCALE DISTRIBUTED SYSTEMS; RESOURCE MANAGEMENT;

SCHEDULING;

EID: 38449115622     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/E-SCIENCE.2006.261173     Document Type: Conference Paper

References (16)

1. H.Daily et al. A Decoupled Scheduling Approach for the GrADS Program Development Environment, Supercomputing 2002,Baltimore, Mayland, November 16-22, 2002.
2. R. Buyya, D.Abramson, and J. Giddy., Nimrod/G: An Architecture of a Resource Management and Scheduling System in a Global Computational Grid, HPC Asia 2000, Beijing, China, 2000
3. V.Hamscher, U.Schwiegelshohn, A.Streit, R.Yahyapour, Evaluation of Job-Scheduling Strategies for Grid Computing, Workshop Grid 2000 at 7th International Conference on High Performance Computing (HiPC-2000), Bangalore, India, LNCS.
4. G. Sabin & P. Sadayappan, On Enhancing the Reliability of Job Schedulers, High Availability and Performance Computing workshop in conjunction with LACSI 2005,Santa Fe, New Mexico.
5. A. Ali, et al. Predicting resource requirements of a job submission, Computing in High Energy Physics, Interlaken, Switzerland, 2004.
6. R. McClatchey et al. Data Intensive and Network Aware (DIANA) Grid Scheduling, Under final review at the Journal of Grid Computing, Springer Publishers 2006.
7. J. H. Dshalalow, On applications of Little's formula, Journal of Applied Mathematics and Stochastic Analysis, 6(3):271-275, 1993.
8. J. Bunn, et al. JClarens. A Java Framework for Developing and Deploying Web Services for Grid Computing, IEEE International Conference on Web Services, 2005.
9. P. Uppuluri, N. Jabisetti, U. Joshi, Yugyung Lee, P2P Grid: Service Oriented Framework for Distributed Resource Management, IEEE International Conference on Services Computing, 2005.
10. G. Wrzesinska, et al. Fault-tolerant Scheduling of Fine-grained Tasks in Grid Environments. International Journal of High Performance Computing Applications, Feb. 2006.
11. http://www.napster.com/
12. H. Jin, X. Shi, et al. An adaptive Meta-Scheduler for data-intensive applications, International Journal of Grid and Utility Computing 1(1):32-37, 2005.
13. J. Frey, et al. Condor-G: A Computation Management Agent for Multi-Institutional Grids, IEEE Symp. on High Performance Distributed Computing, San Francisco, 2001.
14. E. Hudo, R. S. Montero, & I. M. Llorente, "The GridWay Framework for Adaptive Scheduling and Execution on Grids Scalable computing: practice and experience (SCPE,), 2005.
15. E. Elmroth & P. Gardfjall, 2005. Design and Evaluation of a Decentralized System for Grid-wide Fairshare Scheduling. In First international Conference on E-Science and Grid Computing 05
16. P. Strazdins, J. Uhlmann, A Comparison of Local and Gang Scheduling on a Beowulf Cluster, cluster2004 San Diego, California