Modern software systems are increasingly built out of services that are developed, deployed, and operated by independent organizations, which expose them for the use by potential clients. Services may be directly invoked by clients. They may also be composed by service integrators, who in turn expose the composite artifact as a new service. We envision a world in which multiple providers publish software artifacts which compete with each other by implementing the same ”abstract” service (i.e. they export the same API and provide the same functionality), but offering different quality of service. Clients may therefore select the most appropriate services targeting their requirements, among all the competing alternatives, and they may do so dynamically. This situation may be called dynamic binding in-the-many. Service selection may be performed by clients by following different strategies, which may in turn affect the overall quality of service invocations. In this paper we address the problem of analyzing and comparing different service selection strategies and we define a framework to model the different scenarios. Furthermore, we report on quantitative analyses through simulations of the modeled scenarios, highlighting advantages and limitations of each solution.

QoS Driven Dynamic Binding in-the-many

GHEZZI, CARLO;MOTTA, ALFREDO;PANZICA LA MANNA, VALERIO;TAMBURRELLI, GIORDANO
2010-01-01

Abstract

Modern software systems are increasingly built out of services that are developed, deployed, and operated by independent organizations, which expose them for the use by potential clients. Services may be directly invoked by clients. They may also be composed by service integrators, who in turn expose the composite artifact as a new service. We envision a world in which multiple providers publish software artifacts which compete with each other by implementing the same ”abstract” service (i.e. they export the same API and provide the same functionality), but offering different quality of service. Clients may therefore select the most appropriate services targeting their requirements, among all the competing alternatives, and they may do so dynamically. This situation may be called dynamic binding in-the-many. Service selection may be performed by clients by following different strategies, which may in turn affect the overall quality of service invocations. In this paper we address the problem of analyzing and comparing different service selection strategies and we define a framework to model the different scenarios. Furthermore, we report on quantitative analyses through simulations of the modeled scenarios, highlighting advantages and limitations of each solution.
RESEARCH INTO PRACTICE – REALITY AND GAPS
INF
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/571535
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