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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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Journal ArticleDOI

Web Service Personalized Quality of Service Prediction via Reputation-Based Matrix Factorization

TL;DR: Reputation-based matrix factorization first calculates the reputation of each user based on their contributed QoS values to quantify the credibility of users, and then takes the users' reputation into consideration for achieving more accurate QoS prediction.
Journal ArticleDOI

Mobile Web services: a new agent-based framework

TL;DR: This article describes agent-based mobile services framework, which uses wireless portal networks and eliminates XML processing on mobile clients and offers dynamic service selection and rapid application development and deployment for Web service providers.
Proceedings ArticleDOI

QoS-aware composition of Web services: a look at selection algorithms

TL;DR: How the selection can consider different quality-of-service (QoS) categories to determine the most suitable candidates for the composition of Web services is discussed.
Proceedings ArticleDOI

More Semantics in QoS Matching

TL;DR: The paper presents the on QoS ontology, an openly available OWL ontology for QoS, and evaluates it in a QoS-aware matching environment and shows that exploiting QoS knowledge significantly improves matching recall without deteriorating precision.
Proceedings ArticleDOI

A QoS-aware fault tolerant middleware for dependable service composition

TL;DR: A QoS-aware fault tolerant middleware that includes a user-collaborated QoS model, various fault tolerance strategies, and a context-aware algorithm in determining optimal fault tolerance strategy for both stateless and stateful Web services is proposed.
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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