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Adaptive Control of Multi-Tiered Web Applications Using Queueing Predictor

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4 Author(s)
Xue Liu ; Dept. of Comput. Sci., Univ. of Illinois at Urbana-Champaign, Urbana, IL ; Heo, J. ; Lui Sha ; Xiaoyun Zhu

How to effectively allocate system resources to meet service level objectives (SLOs) is a challenging problem for Web services providers. In this paper, we propose a scheme for autonomous performance control of Web applications. It uses a queueing model predictor and an online adaptive feedback loop that enforces admission control of the incoming requests to ensure the desired response time target is met. The proposed queueing-model-based adaptive control approach combines both the modeling power of queueing theory and self-tuning power of adaptive control. Therefore, it can handle both modeling inaccuracies and load disturbances in a better way. To evaluate the proposed approach, we built a multi-tiered Web application testbed with open-source components widely used in industry. Experimental studies conducted on the testbed demonstrated the effectiveness of the proposed approach

Published in:

Network Operations and Management Symposium, 2006. NOMS 2006. 10th IEEE/IFIP

Date of Conference:

3-7 April 2006

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