JOURNAL ARTICLE

Utility-based QoS Brokering in Service Oriented Architectures

Abstract

Quality of service (QoS) is an important consideration in the dynamic service selection in the context of service oriented architectures. This paper extends previous work on QoS brokering for SOAs by designing, implementing, and experimentally evaluating a service selection QoS broker that maximizes a utility function for service consumers. Utility functions allow stakeholders to ascribe a value to the usefulness of a system as a function of several attributes such as response time, throughput, and availability. This work assumes that consumers of services provide to a QoS broker their utility functions and their cost constraints on the requested services. Service providers register with the broker by providing service demands for each of the resources used by the services provided and cost functions for each of the services. Consumers request services from the QoS broker, which selects a service provider that maximizes the consumer's utility function subject to its cost constraint. The QoS broker uses analytic queuing models to predict the QoS values of the various services that could be selected under varying workload conditions. The broker and services were implemented using a J2EE/Weblogic platform and experiments were conducted to evaluate the broker's efficacy. Results showed that the broker adequately adapts its selection of service providers according to cost constraints.

Keywords:
Mobile QoS Quality of service Computer science Service (business) Service provider Context (archaeology) Workload Service delivery framework Service level objective Computer network Service design Web service Throughput Queueing theory World Wide Web Business Telecommunications Operating system Marketing

Metrics

108
Cited By
31.59
FWCI (Field Weighted Citation Impact)
18
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems
Software System Performance and Reliability
Physical Sciences →  Computer Science →  Computer Networks and Communications
Distributed systems and fault tolerance
Physical Sciences →  Computer Science →  Computer Networks and Communications

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