Abstract
Computational grid nowadays has become a hotspot in high performance computing environments because it can solve larger scale computing problems. The present load balance strategy in computing grid such as the Globus tools is static. This paper mainly focuses on dynamic load balance in the computational grid. We put forward a new model that solves the dynamic load balance problems on computational grid.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Willebeek-LeMair, M.H., Reeves, A.P.: Strategies for dynamic load balance on highly parallel computer. IEEE Transactions on Parallel and Distributed system 4(9), 979–993 (1993)
Xu, C.Z., Lau, F.C.M.: Iterative dynamic load balancing in multicomputers. Journal of Operational Research Society 45(7), 786–796 (1994)
Cybenko, G.: Dynamic load balancing for distributed memory multiprocessors. Journal of Parallel and Distributed Computing 7(2), 279–301 (1989)
Hosseine, S.H., Litow, B.: Dynamic load balancing for distributed memory memory multiprocessors. Journal of parallel and distributed computing 7(2), 279–301 (1989)
Lin, C.H., Keller, R.M.: The gradient model load distribution mothods. IEEE transactions on software engineering 13(1), 32–38 (1987)
Hui, C.C., Chanson, S.T.: Hydrodynamic load balancing. IEEE transactions on the parallel and distributed system 10(11) (1999)
金之雁, 王鼎兴, 异构系统中负载平衡扩散算法的加速方法.软件学报, vol. 14(5)
Foster, I., Kesselman, C.: The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration. Open Grid Service Infrastructure WG, Global Grid Forum
Foster, I., Kesselman, C.: The Anatomy of the Grid: Enabling Scalable Virtual Organizations. International J. Supercomputer Applications 15(3) (2001)
Foster, I., Kesselman, C.: The Grid: Blueprint for a New Computing Infrastructure. In: Computational Grids, ch. 2, Morgan-Kaufman, San Francisco (1999)
Foster, I., Kesselman, C.: Globus: A Metacomputing Infrastructure Toolkit. Intl J. Supercomputer Applications 11(2), 115–128 (1997)
Smith, W., Foster, I., Taylor, V.: Scheduling with Advanced Reservations. In: Proceedings of the IPDPS Conference (May 2000)
Czajkowski, K., Foster, I., Kesselman, C.: Resource Co-Allocation in Computational Grids. In: Proceedings of the Eighth IEEE International Symposium on High Performance Distributed Computing (HPDC-8), pp. 219–228 (1999)
Foster, I., Kesselman, C.: A Distributed Resource Management Architecture that Supports Advance Reservations and Co-Allocation. In: Intl Workshop on Quality of Service (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, R., Gui, Y., Gao, J. (2004). An Optimal Method of Diffusion Algorithm for Computational Grid. In: Li, M., Sun, XH., Deng, Qn., Ni, J. (eds) Grid and Cooperative Computing. GCC 2003. Lecture Notes in Computer Science, vol 3032. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24679-4_101
Download citation
DOI: https://doi.org/10.1007/978-3-540-24679-4_101
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21988-0
Online ISBN: 978-3-540-24679-4
eBook Packages: Springer Book Archive