Abstract
A distributed server cluster system is a cost-effective solution to provide scalable and reliable Internet services. In order to achieve high qualities in service, it is necessary to tune the system varying configurable parameters and employed algorithms that significantly affect system performance. In this purpose, we develop a simulator for performance analysis of a traffic-distribution cluster system, called the ALBM (Adaptive Load Balancing and Management) cluster. In this paper, we introduce the architecture of the proposed simulator. Major design considerations are given to the flexible structures that can be easily expanded for adding new features, such as new workloads and scheduling algorithms. With this simulator, we perform two simple cases of performance analysis: one is to find appropriate overload and underload thresholds and the other is to find the suitable scheduling algorithm for a given workload.
This work was supported by the Korea Science and Engineering Foundation (KOSEF) under Grant No. R04-2003-000-10213-0. This work was also supported by research program 2004 of Kookmin University in Korea.
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© 2005 Springer-Verlag Berlin Heidelberg
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Choi, E., Min, D. (2005). A Web Cluster Simulator for Performance Analysis of the ALBM Cluster System. In: Kim, T.G. (eds) Artificial Intelligence and Simulation. AIS 2004. Lecture Notes in Computer Science(), vol 3397. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30583-5_56
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DOI: https://doi.org/10.1007/978-3-540-30583-5_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24476-9
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