The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Resource allocation and disturbance rejection in web servers using SLAs and virtualized servers

Author

Summary, in English

Abstract—Resource management in IT–enterprises gain more and more attention due to high operation costs. For instance, web sites are subject to very changing traffic–loads over the year, over the day, or even over the minute. Online adaption to the changing environment is one way to reduce losses in the operation. Control systems based on feedback provide methods for such adaption, but is in nature slow, since changes in the environment has to propagate through the system before being compensated. Therefore, feed–forward systems can be introduced that has shown to improve the transient performance. However, earlier proposed feed–forward systems have been based on offline estimation. In this article we show that off–line estimations can be problematic in online applications. Therefore, we propose a method where parameters are estimated online, and thus also adapts to the changing environment. We compare our solution to two other control strategies proposed in the literature, which are based on off-line estimation of certain parameters. We evaluate the controllers with both discrete-event simulations and experiments in our testbed. The investigations show the strength of our proposed control system.

Publishing year

2009

Language

English

Publication/Series

IEEE Transactions on Network and Service Management

Volume

6

Issue

4

Document type

Journal article

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Control Engineering
  • Electrical Engineering, Electronic Engineering, Information Engineering

Status

Published

Project

  • Broadband Communications: Modelling and Control of Server Systems
  • LCCC

Research group

  • Broadband Communication
  • LCCC

ISBN/ISSN/Other

  • ISSN: 1932-4537