Adaptive Control of Multi-Tiered Web Applications Using Queueing Predictor

被引：33

作者：

Liu, Xue ^{[1
]}

Heo, Jin ^{[1
]}

Sha, Lui ^{[1
]}

Zhu, Xiaoyun ^{[2
]}

机构：

[1] Univ Illinois, Dept Comp Sci, 1304 W Springfield Ave, Urbana, IL 61801 USA

[2] Hewlett Packard Lab, Enterprise Software & Syst Lab, Palo Alto, CA 94304 USA

来源：

2006 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, VOLS 1 AND 2 | 2006年

关键词：

D O I：

10.1109/NOMS.2006.1687543

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：106 / +

页数：2