scispace - formally typeset
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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Building of Monitored Anti-Bacterial Smart Sterilization Room Based on Internet of Things Using PIR Sensor and Its Quality Assurances

TL;DR: The research proposes smart room sterilization system based on the Internet of Things using a Passive Infrared Receiver (PIR) which has role as detection system and can be monitored, operated remotely, equipped with a security system, and has quality assurences to be implemented for providing healthier room.
Book ChapterDOI

Content-Based Load Balancing Using Web Clusters and Service Rankings

T N Anitha, +1 more
TL;DR: Through experimental results on J Meter software, it is proved that this concept can be helpful in providing better Quality of Service (QOS) to the website users.
Proceedings Article

Adding meaning to qos negotiation

TL;DR: A Service Level Agreement (SLA) ontology that explicitly considers subjective user QoS specification was conceived, and its internal components and the role it plays during service discovery are outlined.

Elastic cloud storage control for non-uniform workloads

TL;DR: This work investigates partition-demand aware control, demonstrating experimentally that this information can be turned to control able to consider the structure of the workload it is observing, rather than assuming it evenly distributed across the keyspace.

Evaluating Efficiency Quality Attribute in Open Source Web browsers

TL;DR: The main objective of conducting this research is to formulate EBC guidelines, which can be later used by OSS developers to test their web browsers and ensure that all the quality standards are strictly adhered during the development of OSS products.
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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