Dynamic load balancing for a grid application

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3296, Issue , 2004, Pages 342-352

  Dobber, Menno ^a   Koole, Ger ^a   Van Der Mei, Rob ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CELLULAR NEURAL NETWORKS;

BURSTINESS; COMPUTING POWER; CPU CYCLES; CYCLE CAPACITY; DYNAMIC LOAD BALANCING; DYNAMIC LOAD BALANCING SCHEMES; GRID APPLICATIONS; KEY CHARACTERISTICS; PERFORMANCE; PROCESSING SPEED; EXPONENTIAL SMOOTHING; NETWORK CAPACITY; RUNNING TIME;

COMPUTING POWER; DISTRIBUTED COMPUTER SYSTEMS;

EID: 35048888526     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30474-6_38     Document Type: Article

References (14)

1. (http://www.planet-lab.org)
2. Banicescu, I., Velusamy, V.: Load balancing highly irregular computations with the adaptive factoring. In: Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS). (2002)
3. Attiya, H.: Two phase algorithm for load balancing in heterogeneous distributed systems. In: Proceeding of the 12th Euromicro conference on parallel, distributed and network-based processing. (2004)
4. Shirazi, B.A., Hurson, A.R., Kavi, K.M.: Scheduling and Load Balancing in Parallel and Distributed Systems. IEEE CS Press (1995)
5. Zaki, M.J., Li, W., Parthasarathy, S.: Customized dynamic load balancing for a network of workstations. Journal of Parallel and Distributed Computing 43 (1997) 156-162
6. Nemeth, Z., Gombas, G., Balaton, Z.: Performance evaluation on grids: Directions, issues and open problems. In: Proceedings of the 12th Euromicro Conference on Parallel, Distributed and Network-based Processing. (2004)
7. Banicescu, I., Liu, Z.: Adaptive factoring: A dynamic scheduling method tuned to the rate of weight changes. In: Proceedings of the High Performance Computing Symposium (HPC). (2000) 122-129
8. Carino, R.L., Banicescu, I.: A load balancing tool for distributed parallel loops. In: International Workshop on Challenges of Large Applications in Distributed Environments. (2003) 39-46
9. Evans, D.J.: Parallel SOR iterative methods. Parallel Computing 1 (1984) 3-18
10. Hageman, L.A., Young, D.M.: Applied Iterative Methods. Academic Press (1981)
11. Wolski, R., Spring, N.T., Hayes, J.: Predicting the CPU availability of time-shared unix systems on the computational grid. Cluster Computing 3 (2000) 293-301
12. Berman, F.D., Wolski, R., Figueira, S., Schöpf, J., Shao, G.: Application-level scheduling on distributed heterogeneous networks. In: Proceedings of the 1996 ACM/IEEE conference on Supercomputing, ACM Press (1996) 39
13. Wolski, R.: Forecasting network performance to support dynamic scheduling using the Network Weather Service. In: HPDC. (1997) 316-325
14. Shum, K.H.: Adaptive distributed computing through competition. In: Proceedings of the International Conference on Configurable Distributed Systems, IEEE Computer Society (May 1996) 200-227