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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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How to Enhance UDDI with Dependability Capabilities

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An Extensible Monitoring Framework for Measuring and Evaluating Tool Performance in a Service-Oriented Architecture

TL;DR: This work presents a generic architecture and reference implementation for non-invasive provider-side instrumentation of data-processing tools exposed as QoS-aware web services, where real-time quality information is obtained through an extensible monitoring framework.
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A complementary ubiquitous service bundling method using service complementarity index

TL;DR: An u-service bundling methodology based on service complementarity to enhance service effectiveness is proposed and a complementarity index between u-services to provide the users with relevant services is developed.
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QoS-Aware Adaptive Service Orchestrations

TL;DR: This paper extends DSOL to support QoS attributes and requirements and combines the DSOL planning techniques with a linear optimizer to calculate the optimal plan w.r.t. the QoS requirements.
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A high performance backoff protocol for fast execution of composite web services

TL;DR: This paper presents a new decentralized protocol, named web service co-allocation protocol (WSCP), which can facilitate fast execution of composite web services and shows that the proposed approach yields significant improvements over existing protocols.
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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