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Journal ArticleDOI

QoS issues in Web services

Daniel A. Menascé
- 01 Nov 2002 - 
- Vol. 6, Iss: 6, pp 72-75
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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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Proceedings ArticleDOI

QShare:QoS-Enabled Description and Discovery of Services in SOA-Based P2P Applications

TL;DR: The proposed approach introduces a novel peer architecture that makes use of QoS-enabled service descriptions and its effectiveness is shown within the context of a model-driven framework for managing the QoS of SOA-based P2P applications.
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A Quality of Service (QoS) model and learner centric selection mechanism for e-learning Web resources and services

TL;DR: A QoS model with six categories of QoS parameters to discriminate e-learning services is defined and an architecture and ranking mechanism to select the most suitable e- learning service for the learner based on his QoS requirements and preferences is proposed.
Proceedings ArticleDOI

Stochastic bounds for end-to-end delay

TL;DR: Binding models are proposed which provide upper and lower bounds on response time in composite Web service model which allows to find trade-off between the accuracy of the bounds and the computation complexity.
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Web Services Composition Optimization Based on Semi-Markov Decision Process

TL;DR: The response time is a significant factor in the process of Web service composition; it is affected by network load and service itself, and then Q learning algorithm is used to obtain the optimal service composition policy.
Proceedings ArticleDOI

SLA based architecture for web service selection and ranking with QoS

TL;DR: The proposed service selection algorithm is based on the basic QoS requirements of the user and fulfills the service requester's preferred QoS requirement of web services.
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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