JOURNAL ARTICLE

A new approach to QoS driven service selection in service oriented architectures

Abstract

Service selection has been widely investigated by the SOA research community as an effective adaptation mechanism that allows a service broker, offering a composite service, to bind at runtime each task of the composite service to a corresponding concrete implementation, selecting it from a set of candidates which differ from one another in terms of QoS parameters. In this paper we present a load-aware per-request approach to service selection which aims to combine the relative benefits of the well known per-request and per-flow approaches. We present experimental results obtained with a prototype implementation of a service broker. Our results show that the proposed approach is superior to the traditional per-request one and combines the ability of sustaining large volume of service requests, as the per-flow approach, while at the same time offering a finer customizable service selection, as the per-request approach.

Keywords:
Computer science Quality of service Service (business) Mobile QoS Task (project management) Selection (genetic algorithm) Service level objective Set (abstract data type) Adaptation (eye) Service delivery framework Differentiated service Service design Distributed computing Computer network Service-oriented architecture Web service World Wide Web Artificial intelligence Engineering

Metrics

10
Cited By
3.74
FWCI (Field Weighted Citation Impact)
24
Refs
0.94
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
Advanced Software Engineering Methodologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Mobile Agent-Based Network Management
Physical Sciences →  Computer Science →  Computer Networks and Communications

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