Abstract
In this paper we address the critical issues of efficient resource management and high-performance parallel distributed computing on the Grid by introducing a new hierarchical approach that combines a user-level job scheduling with a dynamic load balancing technique that automatically adapts a black-box distributed or parallel application to the heterogeneous resources. The algorithm developed dynamically selects the resources best suited for a particular task or parallel process of the executed application, and optimizes the load balance based on the dynamically measured resource parameters and estimated requirements of the application. We describe the proposed algorithm for automated load balancing, paying attention to the influence of resource heterogeneity metrics, demonstrate the speedup achieved with this technique for different types of applications and resources, and propose a way to extend the approach to a wider class of applications.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Krzhizhanovskaya, V.V., Korkhov, V.V.: Problem-Solving Environments for Simulation and Optimization on Heterogeneous Distributed Computational Resources of the Grid. In: PACO 2006. Proceedings of the Third International Conference on Parallel Computations and Control Problems, Moscow, Russia, pp. 917–932. Trapeznikov Institute of Control Sciences RAS, Moscow (2006)
Krzhizhanovskaya, V.V., Sloot, P.M.A., Gorbachev, Y.E.: Grid-based Simulation of Industrial Thin-Film Production. Simulation: Transactions of the Society for Modeling and Simulation International 81(1), 77–85 (2005)
Krzhizhanovskaya, V.V., Korkhov, V.V., Tirado-Ramos, A., Groen, D.J., Shoshmina, I.V., Valuev, I.A., Morozov, I.V., Malyshkin, N.V., Gorbachev, Y.E., Sloot, P.M.A.: Computational Engineering on the Grid: Crafting a Distributed Virtual Reactor. In: Second IEEE International Conference on e-Science and Grid Computing (e-Science’06), p. 101 (2006)
Krzhizhanovskaya, V.V., et al.: A 3D Virtual Reactor for Simulation of Silicon-Based Film Production. In: Proceedings of the ASME/JSME PVP Conference. ASME PVP-vol. 491(2), pp. 59–68, PVP2004-3120 (2004)
Krzhizhanovskaya, V.V., Zatevakhin, M.A., Ignatiev, A.A., Gorbachev, Y.E., Sloot, P.M.A.: Distributed Simulation of Silicon-Based Film Growth. In: Wyrzykowski, R., Dongarra, J.J., Paprzycki, M., Waśniewski, J. (eds.) PPAM 2001. LNCS, vol. 2328, pp. 879–888. Springer, Heidelberg (2002)
Korkhov, V.V., Krzhizhanovskaya, V.V.: Workload Balancing in Heterogeneous Grid Environment: A Virtual Reactor Case Study. In: Proceedings of the Second International Conference Distributed Computing and Grid Technologies in Science and Education, pp. 103–113. Publ: JINR, Dubna, D11-2006-167 (2006)
Korkhov, V.V., Krzhizhanovskaya, V.V.: Benchmarking and Adaptive Load Balancing of the Virtual Reactor Application on the Russian-Dutch Grid. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J.J. (eds.) ICCS 2006. LNCS, vol. 3991, pp. 530–538. Springer, Heidelberg (2006)
Korkhov, V.V., Krzhizhanovskaya, V.V., Sloot, P.M.A.: A Grid Based Virtual Reactor: Parallel performance and adaptive load balancing. Revised version submitted to the Journal of Parallel and Distributed Computing (2007)
CrossGrid EU Science project, http://www.eu-CrossGrid.org
Fox, G.: Grid Computing environments. IEEE Computers in Science and Engineering 10, 68–72 (2003)
Nabrzyski, J., Schopf, J.M., Weglarz, J. (eds.): Grid Resource Management: State of the Art and Future Trends. Kluwer Academic Publishers, Boston (2004)
Foster, I., Kesselman, C. (eds.): The Grid 2: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, Seattle (2003)
Buyya, R., Cortes, T., Jin, H.: Single System Image. The International Journal of High Performance Computing Applications 15(2), 124–135 (2001)
Maghraoui, K.E., Desell, T.J., Szymanski, B.K., Varela, C.A.: The Internet Operating System: Middleware for Adaptive Distributed Computting. The International Journal of High Performance Computing Applications 20(4), 467–480 (2006)
Sonmez, O.O., Gursoy, A.: A Novel Economic-Based Scheduling Heuristic for Computational Grids. The International Journal of High Performance Computing Applications 21(1), 21–29 (2007)
Boyera, W.F., Hura, G.S.: Non-evolutionary algorithm for scheduling dependent tasks in distributed heterogeneous computing environments. J. Parallel Distrib. Comput. 65, 1035–1046 (2005)
Collins, D.E., George, A.D.: Parallel and Sequential Job Scheduling in Heterogeneous Clusters: A Simulation Study Using Software in the Loop. SIMULATION 77, 169–184 (2001)
Schoneveld, A., de Ronde, J.F., Sloot, P.M.A.: On the Complexity of Task Allocation. Complexity 3, 52–60 (1997)
de Ronde, J.F., Schoneveld, A., Sloot, P.M.A.: Load Balancing by Redundant Decomposition and Mapping. Future Generation Computer Systems 12(5), 391–407 (1997)
Karatza, H.D., Hilzer, R.C.: Parallel Job Scheduling in Homogeneous Distributed Systems. SIMULATION 79(5-6), 287–298 (2003)
Barak, A., Wheeler, R.G., Guday, S.: The MOSIX Distributed Operating System. LNCS, vol. 672. Springer, Heidelberg (1993)
Overeinder, B.J., Sloot, P.M.A., Heederik, R.N., Hertzberger, L.O.: A Dynamic Load Balancing System for Parallel Cluster Computing. Future Generation Computer Systems 12(1), 101–115 (1996)
Shao, G., et al.: Master/Slave Computing on the Grid. In: Proceedings of Heterogeneous Computing Workshop, pp. 3–16. IEEE Computer Society Press, Los Alamitos (2000)
Sinha, S., Parashar, M.: Adaptive Runtime Partitioning of AMR Applications on Heterogeneous Clusters. In: Proceedings of 3rd IEEE Intl. Conference on Cluster Computing, pp. 435–442 (2001)
David, R., et al.: Source Code Transformations Strategies to Load-Balance Grid Applications. In: Parashar, M. (ed.) GRID 2002. LNCS, vol. 2536, pp. 82–87. Springer, Heidelberg (2002)
Teresco, J.D., et al.: Resource-Aware Scientific Computation on a Heterogeneous Cluster. Computing in Science & Engineering 7(2), 40–50 (2005)
Kufrin, R.: PerfSuite: An Accessible, Open Source Performance Analysis Environment for Linux. In: 6th International Conference on Linux Clusters, Chapel Hill, NC (2005)
Lu, C., Lau, S.-M.: An Adaptive Load Balancing Algorithm forHeterogeneous Distributed Systems with Multiple Task Classes. In: International Conference on Distributed Computing Systems (1996)
Lan, Z., Taylor, V.E., Bryan, G.: Dynamic Load Balancing of SAMR Applications on Distributed Systems. In: Proceedings of the 2001 ACM/IEEE conference on Supercomputing (2001)
Zhang, Y., Hakozaki, K., Kameda, H., Shimizu, K.: A performance comparison of adaptive and static load balancing in heterogeneous distributed systems. In: The 28th Annual Simulation Symposium, p. 332 (1995)
Germain-Renaud, C., Loomis, C., Moscicki, J.T., Texier, R.: Scheduling for Responsive Grids. Grid Computing Journal (Special Issue on EGEE User Forum) (2006)
Moscicki, J.T., Bubak, M., Lee, H.-C., Muraru, A., Sloot, P.: Quality of Service on the Grid with User Level Scheduling. In: Cracow Grid Workshop Proceedings (2006)
Calvin, J.M.: A One-Dimensional Optimization Algorithm and Its Convergence Rate under the Wiener Measure. Journal of Complexity N 17, 306–344 (2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Krzhizhanovskaya, V.V., Korkhov, V.V. (2007). Dynamic Load Balancing of Black-Box Applications with a Resource Selection Mechanism on Heterogeneous Resources of the Grid. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2007. Lecture Notes in Computer Science, vol 4671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73940-1_26
Download citation
DOI: https://doi.org/10.1007/978-3-540-73940-1_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73939-5
Online ISBN: 978-3-540-73940-1
eBook Packages: Computer ScienceComputer Science (R0)