The Design of QoS Broker Algorithms for QoS-Capable Web Services

Tao yu, Kwei Jay Lin

Research output: Contribution to journalJournal Article peer-review

19 Scopus citations

Abstract

QoS (quality of service) support in Web services is an important issue since it ensures service usability and utility for each client and, in addition, improves server utilization. In this article, we present a QoS-capable Web service architecture, QCWS, by introducing a QoS broker module between service clients and providers (servers). The functions of the QoS broker module include tracking QoS information about servers, making selection decisions for clients, and negotiating with servers to get QoS agreements. We study two resource allocation algorithms (HQ and RQ) used by QoS brokers acting as the front-end of servers. The goals of the algorithms are to maximize the server resource usage while minimizing the QoS instability for each client. The first algorithm, HQ, assigns a homogeneous service level to all clients on the system and adjusts the service level according to the number of active clients. The second algorithm, RQ, assigns different service levels to clients according to their needs. Both algorithms try to minimize the resource reallocations for existing clients. The QoS performance and instability trade-offs are studied by simulation.

Original languageEnglish
Pages (from-to)33-50
Number of pages18
JournalInternational Journal of Web Services Research (IJWSR)
Volume1
Issue number4
DOIs
StatePublished - 10 2004
Externally publishedYes

Keywords

  • HQ
  • QoS broker
  • QoS instability
  • RQ
  • Web services
  • resource allocation algorithm
  • server utilization

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