Mining performance data for metascheduling decision support in the Grid

Future Generation Computer Systems

Volumn 23, Issue 1, 2007, Pages 92-99

  Li, Hui ^a   Groep, David ^b   Wolters, Lex ^a  

^a LEIDEN UNIVERSITY   (Netherlands)

^b NIKHEF   (Netherlands)

Author keywords

Grid; Instance based learning; Metascheduling; Response time predictions

Indexed keywords

DATA MINING; DECISION SUPPORT SYSTEMS; LEARNING SYSTEMS; RESPONSE TIME (COMPUTER SYSTEMS); SCHEDULING;

INSTANCE BASED LEARNING; METASCHEDULERS; PREDICTION ERRORS; RESPONSE TIME PREDICTIONS;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 33748441538     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2006.04.009     Document Type: Article

References (15)

1. Abramson D., Buyya R., and Giddy J. A computational economy for grid computing and its implementation in the Nimrod-G resource broker. Future Generation Computer Systems 18 8 (2002) 1061-1074
2. Atkeson C.G., Moore A.W., and Schaal S. Locally weighted learning. Artificial Intelligence Review 11 1-5 (1997) 11-73
3. Cao J., Spooner D.P., Jarvis S.A., and Nudd G.R. Grid load balancing using intelligent agents. Future Generation Computer Systems 21 1 (2005) 135-149
4. Chavez E., Navarro G., Baeza-Yates R., and Marroquin J.L. Searching in Metric Spaces. ACM Computing Surveys 33 3 (2001) 273-321
5. Goldenberg D.E. Genetic Algorithms in Search, Optimization, and Machine Learning (1989), Addison-Wesley
6. Kapadia N.H., Fortes J.A.B., and Brodley C.E. Predictive application-performance modeling in a computational grid environment. Proceedings of the Eighth IEEE International Symposium on High Performance Distributed Computing. HPDC-8 (1999), IEEE Press
7. Li H., Groep D., Templon J., and Wolters L. Predicting job start times on clusters. Proceedings of 4th IEEE/ACM International Symposium on Cluster Computing and the Grid (2004), IEEE Press
8. The Maui Scheduler. http://www.supercluster.org/maui/
9. PDM - A Performance Data Miner. http://www.liacs.nl/home/hli/pdm/
10. Parallel Workload Archive. http://www.cs.huji.ac.il/labs/parallel/workload/
11. Smith W., Foster I., and Taylor V. Predicting application run times using historical information. Lecture Notes in Computer Science 1459 (1998) 122-136
12. W. Smith, Resource management in metacomputing environments. Ph.D. Thesis, Northwestern University, 1999
13. Smith W., Taylor V., and Foster I. Using run-time predictions to estimate queue wait times and improve scheduler performance. Lecture Notes in Computer Science 1659 (1999) 202-219
14. Weng C., and Lu X. Heuristic scheduling for bag-of-tasks applications in combination with QoS in the computational grid. Future Generation Computer Systems 21 2 (2005) 271-280
15. Wilson D.R., and Martinez T.R. Improved heterogeneous distance functions. Journal of Artificial Intelligence Research 6 (1997) 1-34