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Proceedings ArticleDOI

QoS computation and policing in dynamic web service selection

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TLDR
This paper presented an open, fair and dynamic QoS computation model for web services selection through implementation of and experimentation with a QoS registry in a hypothetical phone service provisioning market place application.
Abstract
The emerging Service-Oriented Computing (SOC) paradigm promises to enable businesses and organizations to collaborate in an unprecedented way by means of standard web services. To support rapid and dynamic composition of services in this paradigm, web services that meet requesters' functional requirements must be able to be located and bounded dynamically from a large and constantly changing number of service providers based on their Quality of Service (QoS). In order to enable quality-driven web service selection, we need an open, fair, dynamic and secure framework to evaluate the QoS of a vast number of web services. The fair computation and enforcing of QoS of web services should have minimal overhead but yet able to achieve sufficient trust by both service requesters and providers. In this paper, we presented our open, fair and dynamic QoS computation model for web services selection through implementation of and experimentation with a QoS registry in a hypothetical phone service provisioning market place application.

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Citations
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Journal ArticleDOI

QoS-aware middleware for Web services composition

TL;DR: This paper presents a middleware platform which addresses the issue of selecting Web services for the purpose of their composition in a way that maximizes user satisfaction expressed as utility functions over QoS attributes, while satisfying the constraints set by the user and by the structure of the composite service.
Proceedings ArticleDOI

Combining global optimization with local selection for efficient QoS-aware service composition

TL;DR: This paper proposes a solution that combines global optimization with local selection techniques to benefit from the advantages of both worlds and significantly outperforms existing solutions in terms of computation time while achieving close-to-optimal results.
Proceedings ArticleDOI

QoS-based Discovery and Ranking of Web Services

TL;DR: The Web service relevancy function (WsRF) used for measuring the relevancies ranking of a particular Web service based on client's preferences, and QoS metrics is introduced and presented.
Proceedings ArticleDOI

Selecting skyline services for QoS-based web service composition

TL;DR: This paper proposes an approach based on the notion of skyline to effectively and efficiently select services for composition, reducing the number of candidate services to be considered, and discusses how a provider can improve its service to become more competitive and increase its potential of being included in composite applications.
Journal ArticleDOI

A survey on service quality description

TL;DR: The goal of this article is to compare the approaches to QoS description in the literature, where several models and metamodels are included, and to analyze where the need for further research and investigation lies.
References
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Proceedings ArticleDOI

Quality driven web services composition

TL;DR: This paper proposes a global planning approach to optimally select component services during the execution of a composite service, and experimental results show that thisglobal planning approach outperforms approaches in which the component services are selected individually for each task in a Composite service.
Journal ArticleDOI

A model for web services discovery with QoS

TL;DR: A new Web services discovery model is proposed in which the functional and non-functional requirements are taken into account for the service discovery and should give Web services consumers some confidence about the quality of service of the discovered Web services.
Journal ArticleDOI

QoS issues in Web services

TL;DR: QoS measures can include the maximum throughput or a function that describes how throughput varies with load intensity, which can be measured in terms of arrival rates (such as requests per second) or number of concurrent requests.
Journal ArticleDOI

Distributed and parallel database systems

TL;DR: The maturation of database management system (DBMS) technology has coincided with significant developments in distributed computing and parallel processing technologies as discussed by the authors, and the end result is the development of distributed database management systems and parallel DBMS that are now the dominant data management tools for highly data-intensive applications.
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