A method for estimating the execution time of a parallel task on a grid node

Lecture Notes in Computer Science

Volumn 3470, Issue , 2005, Pages 226-236

  Phinjaroenphan, Panu ^a   Bevinakoppa, Savitri ^a   Zeephongsekul, Panlop ^a  

^a RMIT UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DISTRIBUTED COMPUTER SYSTEMS; ERROR ANALYSIS; MAPPING; PROBLEM SOLVING; STATISTICAL METHODS;

GRID NODE; K-NEAREST-NEIGHBOURS ALGORITHMS; PREDICTORS; STATISTICAL TECHNIQUE;

PARALLEL PROCESSING SYSTEMS;

EID: 24944582242     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11508380_24     Document Type: Conference Paper

References (10)

1. Foster, I., Kesselman, C.: The Grid: Blueprint for Future Computing Infrastructure. Morgan Kaufmann (1998)
2. Bokhari, S.: On the mapping problem. IEEE Transaction on Computers C-30 (1981) 207-214
3. Dail, H., Berman, F., Casanova, H.: A decoupled scheduling approach for grid application development environments. Parallel and Distributed Computing 63 (2003) 505-524
4. th International Parallel and Distributed Processing Symposium (IPDPS). (2004) 105-115
5. Atkeson, C., Schaal, S., Moore, A.: Locally weighted learning. AI Reviews 11 (1997) 11-73
6. Iverson, M., Ozguner, F., Potter, L.: Statistical prediction of task execution times through analytic benchmarking for scheduling in a heterogeneous environment. IEEE Transaction on Computers 48 (1999) 35-44
7. rd edn. Collier Macmillan (1982)
8. nd edn. Pearson Education Limited, Essex, England (2003)
9. Varavithya, V., Uthayopas, P.: ThaiGrid: Architecture and overview. NECTEC Technical Journal 2 (2000)
10. The PingER Project, http://www-iepm.slac.stanford.edu/pinger/ (2004)