Feedback performance control for computer systems: An LPV approach

Wubi Qin, Qian Wang

Research output: Contribution to journalConference articlepeer-review

14 Scopus citations


There has been increasing research effort in applying control-theoretic approaches to performance management for computer systems such as web servers, database systems, and storage systems. Since today's Internet servers and applications are often operated under dynamically changing load conditions, linear control designs may not suffice to provide desired performance guarantees. This paper presents a Linear-Parameter-Varying (LPV) approach to the modeling and performance control of web servers in order to achieve performance-based Service Level Agreement (SLA). In particular, admission control for web servers is used as a case study. By applying system identification to empirical data, an LPV system is developed to approximate the dynamics of web server admission control from rejection ratio to response time, where the time-varying workload parameters are chosen as scheduling variables. An LPV robust control is then designed to meet response time SLA. The performance of the LPV control is compared with that of a linear design. By exploring the nature of dependence of server performance on time-varying load and operating conditions, the proposed general framework are applicable to a diverse spectrum of server-based applications. The utilization of scheduling parameters can be generalized to accommodate more sophisticated workload characterization and complicated server environments.

Original languageEnglish (US)
Article numberFrC07.1
Pages (from-to)4760-4765
Number of pages6
JournalProceedings of the American Control Conference
StatePublished - Sep 1 2005
Event2005 American Control Conference, ACC - Portland, OR, United States
Duration: Jun 8 2005Jun 10 2005

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Feedback performance control for computer systems: An LPV approach'. Together they form a unique fingerprint.

Cite this