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Queueing-Model-Based Adaptive Control of Multi-Tiered Web Applications

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4 Author(s)
Xue Liu ; Sch. of Comput. Sci., McGill Univ., Montreal, QC ; Heo, J. ; Lui Sha ; Xiaoyun Zhu

Web applications have been increasingly deployed on the Internet. How to effectively allocate system resources to meet the Service Level Objectives (SLOs) is a challenging problem for Web application providers. In this article, we propose a scheme for automated performance control of Web applications via dynamic resource allocations. The scheme 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 the 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 adopted in industry. Experimental studies conducted on the testbed demonstrated the effectiveness of the proposed scheme.

Published in:

Network and Service Management, IEEE Transactions on  (Volume:5 ,  Issue: 3 )