An adaptive scheme for predicting the usage of grid resources

Computers and Electrical Engineering

Volumn 33, Issue 1, 2007, Pages 1-11

  Lee, Liang Teh ^a   Tao, Der Fu ^a,b   Tsao, Chieh ^a  

^a TATUNG UNIVERSITY   (Taiwan)

^b TECHNOLOGY AND SCIENCE INSTITUTE OF NORTHERN TAIWAN   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; DISTRIBUTED COMPUTER SYSTEMS; ITERATIVE METHODS; MATHEMATICAL MODELS; RESOURCE ALLOCATION; SCHEDULING; TIME SERIES ANALYSIS;

COMPUTATIONAL RESOURCES; GRID COMPUTING SYSTEMS; ITERATIVE PATTERNS; REPETITIVE PATTERNS;

PARALLEL PROCESSING SYSTEMS;

EID: 33751288117     PISSN: 00457906     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compeleceng.2006.05.003     Document Type: Article

References (12)

1. Junwei Cao, Stephen A Jarvis, Daniel P Spooner, James D Turner, Darren J Kerbyson, Graham R Nudd. Performance prediction technology for agent-based resource management in grid environments. In: Proceedings of the international parallel and distributed processing symposium; 2002. p. 86-99.
2. Nudd GR, Kerbyson DJ, Papaefstathiou E, Perry SC, Harper JS, Wilcox DV. PACE - a toolset for the performance prediction of parallel and distributed systems. Int J High Performance Computing Applications. In: Special issues on performance modelling, Sage Science Press 2000;14(3):228-51.
3. Menascé D.A., Saha D., Porto S.C.D.S., Almeida V.A.F., and Tripathi S.K. Static and dynamic processor scheduling disciplines in heterogeneous parallel architectures. J Parallel Distr Comput 28 (1995) 1-18
4. Paranhos D, Cirne W, Brasileiro F. Trading cycles for information: using replication to schedule bag-of-tasks applications on computational grids. In: International conference on parallel and distributed computing (Euro-Par), Lect Notes Comput Sci 2003;2790:169-80.
5. Maheswaran M, Ali S, Siegel HJ, Hensgen D, Freund R. Dynamic matching and scheduling of a class of independent tasks onto heterogeneous computing systems. In: 8th IEEE heterogeneous computing workshop (HCW'99); 1999. p. 30-44.
6. Casanova H, Legrand A, Zagorodnov D, Berman F. Heuristics for scheduling parameter sweep applications in grid environments. In: 9th heterogeneous computing workshop (HCW); 2000. p. 349-63.
7. Ibarra O.H., and Kim C.E. Heuristic algorithms for scheduling independent tasks on nonidentical processors. J ACM 24 2 (1977) 280-289
8. Freund RF, Gherrity M, Ambrosius S, Campbell M, Halderman M, Hensgen D, et al. Scheduling resources in multi-user, heterogeneous, computing environments with Smartnet. In: 7th IEEE heterogeneous computing workshop (HCW'98); 1998. p. 184-99.
9. Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimmo Kaski. Time series prediction using recurrent SOM with local linear models, Research Report B15, Helsinki University of Technology, Laboratory of Computational Engineering, Finland, 1997.
10. Shigeo Kamitsuji, Ritei Shibata. Effectiveness of stochastic neural network for prediction of fall or rise of TOPIX, Research Paper, Keio University, 2004.
11. Nikola K. Evolving connectionist systems (2003), Springer-Verlag London Limited
12. Ooi Boon Yaik, Chan Huah Yong, Fazilah Haron. Time series prediction using adaptive association rules. In: Proceedings of the first international conference on distributed frameworks for multimedia applications (DFMA'05); 2005. p. 310-4.