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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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A shortest path based automatic composition method of Semantic Web services

TL;DR: An automatic composition method of semantic Web services based on shortest path (SSCM), which constructs a service graph base on semantic similarity, and uses sim-shortest path algorithm to find a solution with the highest functional satisfaction while keeping good QoS performance.
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Fusion of Pearson similarity and Slope One methods for QoS prediction for web services

TL;DR: The result shows that the proposed algorithm exhibits better prediction precision than both basic Slope One and the well-known WsRec algorithm in most cases, and has the strong ability of reducing the impact of noise data.
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A QoS-based neuro-fuzzy model for ranking Web services

TL;DR: The main feature of the Web service selection model is to take advantage of the neuro-fuzzy logic for coping with the imprecision of QoS constraints values.
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Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures

TL;DR: Wang et al. as mentioned in this paper proposed a two-stage GA-based approach to robust web service composition with an adaptive evolutionary control and an efficient robustness measurement, which can generate robust composite service at the design phase, which could cope with stochastic service failures and maintain high quality at the time of execution.
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A Broker-Based Architecture for Quality- Driven Web Services Composition using a Hybrid Genetic Algorithm

TL;DR: This paper proposes a broker based architecture for quality based web service composition that takes into account the mutual constraints between the web service implementations.
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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