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Performance‐driven dynamic service selection
Author(s) -
Ghezzi Carlo,
Panzica La Manna Valerio,
Motta Alfredo,
Tamburrelli Giordano
Publication year - 2014
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3259
Subject(s) - computer science , selection (genetic algorithm) , service (business) , service provider , quality of service , interface (matter) , integrator , quality (philosophy) , process management , risk analysis (engineering) , business , computer network , marketing , artificial intelligence , operating system , philosophy , bubble , bandwidth (computing) , epistemology , maximum bubble pressure method
Summary Modern software systems are increasingly built by integrating different services implemented by independent organizations and offered in an open service marketplace. In such environment, multiple providers may compete with each other by publishing services that provide the same functionality, and export the same interface, but differ in the offered QoS and in particular in the offered performance. Clients and service integrators may therefore dynamically select the most efficient services that satisfy their requirements among the competing alternatives. Service selection may be performed by clients by following different strategies, which may ultimately affect the overall quality of service invocations. In this paper, we address the problem of analyzing and comparing different service selection strategies based on a framework that supports performance estimates. We report on quantitative analyses through simulations, highlighting advantages and limitations of each strategy. Copyright © 2014 John Wiley & Sons, Ltd.