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Dynamic workload balancing of parallel applications with user-level scheduling on the Grid

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2009年第1期25卷 28-34页

作者： Korkhov, Vladimir V. Moscicki, JakubT. Krzhizhanovskaya, Valeria V. Univ Amsterdam Sect Computat Sci NL-1098 SJ Amsterdam Netherlands CERN CH-1211 Geneva 23 Switzerland St Petersburg State Polytech Univ St Petersburg Russia

This paper suggests a hybrid resource management approach for efficient parallel distributed computing on the Grid. It operates on both application and system levels, combining user-level job scheduling with dynamic workload balancing algorithm that automatically adapts a parallel application to the heterogeneous resources, based on the actual resource parameters and estimated requirements of the application. The hybrid environment and the algorithm for automated load balancing are described, the influence of resource heterogeneity level is measured, and the speedup achieved with this technique is demonstrated for different types of applications and resources. (c) 2008 Elsevier B.V. All rights reserved.

关键词： Dynamic load balancing Resource management User-level scheduling High-performance computing Grid Heterogeneous resources parallel distributed application

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Dynamic load balancing of black-box applications with a resource selection mechanism on heterogeneous resources of the grid

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9th International Conference on parallel Computing Technologies

作者： Krzhizhanovskaya, Valeria V. Korkhov, Vladimir V. Univ Amsterdam Fac Sci Sect Computat Sci NL-1012 WX Amsterdam Netherlands St Petersburg StatePoltech Univ St Petersburg 199034 Russia

ISBN: (纸本)9783540739395

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.

关键词： dynamic load balancing resource management high-performance computing grid heterogeneous resources parallel distributed application

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Benchmarking and adaptive load balancing of the Virtual Reactor application on the Russian-Dutch Grid

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6th International Conference on Computational Science (ICCS 2006)

作者： Korkhov, Vladimir V. Krzhizhanovskaya, Valeria V. Univ Amsterdam Fac Sci Sect Computat Sci NL-1012 WX Amsterdam Netherlands St Petersburg State Polytech Univ St Petersburg Russia

ISBN: (纸本)3540343792

This paper addresses a problem of porting a distributed parallel application to the Grid. As a case study we use the Virtual Reactor application on the Russian-Dutch Grid testbed. We sketch the Grid testbed infrastructure and application modular architecture, and concentrate on performance issues of one of the core parallel solvers on the Grid. We compare the performance achieved on homogeneous resources with that observed on heterogeneous computing and networking infrastructure. To increase the parallel efficiency of the solver on heterogeneous resources we developed an adaptive load balancing algorithm. We demonstrate the speedup achieved with this technique and indicate the ways to further enhance the algorithm and develop an automated procedure for optimal utilization of Grid resources for parallel computing.

关键词： Grid benchmarking adaptive load balancing heterogeneous resources parallel distributed application Virtual Reactor PECVD

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