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Journal ArticleDOI

QoS issues in Web services

Daniel A. Menascé
- 01 Nov 2002 - 
- Vol. 6, Iss: 6, pp 72-75
TLDR
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.
Abstract
Quality of service (QoS) is a combination of several qualities or properties of a service, such as: availability is the percentage of time that a service is operating; security properties include the existence and type of authentication mechanisms the service offers, confidentiality and data integrity of messages exchanged, nonrepudiation of requests or messages, and resilience to denial-of-service attacks; response time is the time a service takes to respond to various types of requests; Response time is a function of load intensity, which can be measured in terms of arrival rates (such as requests per second) or number of concurrent requests. QoS takes into account not only the average response time, but also the percentile of the response time; and throughput is the rate at which a service can process requests. QoS measures can include the maximum throughput or a function that describes how throughput varies with load intensity. The QoS measure is observed by Web services users. These users are not human beings but programs that send requests for services to Web service providers. QoS issues in Web services have to be evaluated from the perspective of the providers of Web services and from the perspective of the users of these services.

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Citations
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Book ChapterDOI

SENECA – simulation of algorithms for the selection of web services for compositions

TL;DR: This paper will explain a combinatorial problem about the selection of candidates for Web service compositions and propose different heuristics as possible solutions and based on a software simulation a performance evaluation of these heuristical solutions is given.
Book ChapterDOI

sPAC (Web Services Performance Analysis Center): performance analysis and estimation tool of web services

TL;DR: This work introduces sPAC (Web Services Performance Analysis Centre) and shows how customers can verify timeliness of their web services semi-automatically and reports analysis and estimation results to help customers determine if the composed web services can meet the performance requirements.
Journal ArticleDOI

Quality of Experience: User's Perception about Web Services

TL;DR: This paper proposes a solution that automatically mines and identifies QoE attributes from the Web and names such quality attributes as quality of experience (QoE), and explores the feasibility of incorporating perceived quality from user's perspective for service selection and composition.
Journal ArticleDOI

QoS-aware middleware for web services composition: a qualitative approach

TL;DR: The proposed concept is implemented by utilising and extending the WS-Notification specification in order to elaborate a middleware that is capable of sensing and routing information change at the level of web services using the publish-subscribe mechanism.
References
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Journal ArticleDOI

Unraveling the Web services web: an introduction to SOAP, WSDL, and UDDI

TL;DR: This tutorial explores the most salient and stable specifications in each of the three major areas of the emerging Web services framework, which are the simple object access protocol, the Web Services Description Language and the Universal Description, Discovery, and Integration directory.
Journal ArticleDOI

Session-based admission control: a mechanism for peak load management of commercial Web sites

TL;DR: It is shown that a Web server augmented with the admission control mechanism is able to provide a fair guarantee of completion, for any accepted session, independent of a session length, which is a critical requirement for any e-business.
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