Model-Based Performance Evaluation of Dispatcher-Based Server Clusters

Web server clusters have become the backbone of Internet infrastructure, supporting a vast array of critical applications ranging from e-commerce to cloud computing. Their performance is crucial, as it directly impacts user experience and service quality. Thus, a quantitative performance evaluation of these systems presents a significant challenge. This paper introduces a promising approach to this challenge by using a multi-state system (MSS)-based hierarchical modeling technique combined with a multi-terminal multi-valued decision diagram (MtMDD) representation. Particularly, this paper evaluates the performance of a dispatcher-based server cluster under random load balancing strategies, providing insights into their effectiveness and efficiency.

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Published
2024-10-11
DOI
https://doi.org/10.1109/srse63568.2024.10772500
Primary Topic
Distributed and Parallel Computing Systems
Type
article
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article

Model-Based Performance Evaluation of Dispatcher-Based Server Clusters

Hiroyuki Okamura, Junjun Zheng, Tadashi Dohi
Distributed and Parallel Computing Systems
article

Model-Based Performance Evaluation of Dispatcher-Based Server Clusters

Hiroyuki Okamura, Junjun Zheng, Tadashi Dohi
article en

Abstract

Web server clusters have become the backbone of Internet infrastructure, supporting a vast array of critical applications ranging from e-commerce to cloud computing. Their performance is crucial, as it directly impacts user experience and service quality. Thus, a quantitative performance evaluation of these systems presents a significant challenge. This paper introduces a promising approach to this challenge by using a multi-state system (MSS)-based hierarchical modeling technique combined with a multi-terminal multi-valued decision diagram (MtMDD) representation. Particularly, this paper evaluates the performance of a dispatcher-based server cluster under random load balancing strategies, providing insights into their effectiveness and efficiency.

Hiroshima University (JP)
Openalex Percentile: Top 75%
Distributed and Parallel Computing Systems
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Model-Based Performance Evaluation of Dispatcher-Based Server Clusters — Hiroyuki Okamura, Junjun Zheng, et al. · (2024) | TGRS Research Map | TGRS