A semantic end-to-end QoS model for dynamic service oriented environments

Mabrouk, Nebil Ben; Georgantas, Nikolaos; Issarny, Valérie

doi:10.1109/pesos.2009.5068817

Cited by 24 publications

(16 citation statements)

References 12 publications

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“…Then, accompanying the model, WS-QDL is a XML-based description language for representing Quality of Service by applying WSQM. An extension of WSQM particularly for dynamic SOC environments and an OWL-based semantic transcription of the extended model have been reported in [85]. Models like WSQM, coupled with a Service Level Agreement language and protocol-the WS-Agreement 15 proposition of the Open Grid Forum is the most widely usedallow the establishment and control of runtime QoS contracts between service providers and consumers [97].…”

Section: State Of the Artmentioning

confidence: 99%

Service-oriented middleware for the Future Internet: state of the art and research directions

Issarny

Georgantas

Hachem

et al. 2011

J Internet Serv Appl

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144

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Service-oriented computing is now acknowledged as a central paradigm for Internet computing, supported by tremendous research and technology development over the last 10 years. However, the evolution of the Internet, and in particular, the latest Future Internet vision, challenges the paradigm. Indeed, service-oriented computing has to face the ultra large scale and heterogeneity of the Future Internet, which are orders of magnitude higher than those of today's service-oriented systems. This article aims at contributing to this objective by identifying the key research directions to be followed in light of the latest state of the art. This article more specifically focuses on research challenges for service-oriented middleware design, therefore, investigating service description, discovery, access, and composition in the Future Internet of services.

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Section: State Of the Artmentioning

confidence: 99%

Service-oriented middleware for the Future Internet: state of the art and research directions

Issarny

Georgantas

Hachem

et al. 2011

J Internet Serv Appl

Self Cite

144

View full text Add to dashboard Cite

show abstract

“…In fact, all the SQMs propose domain-independent criteria that can be generally used in every context in which nonfunctional properties are considered. Only four approaches enumerate also some domain-specific attributes of a particular domain [Sakellariou and Yarmolenko 2008;Kritikos and Plexousakis 2009;Mabrouk et al 2009] or some quality attributes used in some domains according to a particular context [Cappiello et al 2008]. The latter four approaches have been proposed recently.…”

Section: Level Of Detail In Qualitymentioning

confidence: 99%

A survey on service quality description

et al. 2013

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Quality of service (QoS) can be a critical element for achieving the business goals of a service provider, for the acceptance of a service by the user, or for guaranteeing service characteristics in a composition of services, where a service is defined as either a software or a software-support (i.e., infrastructural) service which is available on any type of network or electronic channel. The goal of this article is to compare the approaches to QoS description in the literature, where several models and metamodels are included. consider a large spectrum of models and metamodels to describe service quality, ranging from ontological approaches to define quality measures, metrics, and dimensions, to metamodels enabling the specification of quality-based service requirements and capabilities as well as of SLAs (Service-Level Agreements) and SLA templates for service provisioning. Our survey is performed by inspecting the characteristics of the available approaches to reveal which are the consolidated ones and which are the ones specific to given aspects and to analyze where the need for further research and investigation lies. The approaches here illustrated have been selected based on a systematic review of conference proceedings and journals spanning various research areas in computer science and engineering, including: distributed, information, and telecommunication systems, networks and security, and service-oriented and grid computing.

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“…We consider a generic QoS model based on our previous work [17], in which we introduced a semantic QoS model formulated as a set of ontologies for QoS specification in dynamic service environments. This model allows for specifying cross-domain QoS attributes like response time, availability, reliability, throughput as well as domain-specific QoS attributes, e.g., medical visit price with respect to our scenario.…”

Section: Qos Modelmentioning

confidence: 99%

“…2). The value of m differs from an activity to another and it is supposed to be given by domain experts with respect to the service density [17] of the considered activity. For instance, in our medical visit scenario, the number of QoS levels related to the doctors' activity is fixed by the hospital system administrator with respect to the number of doctors in the hospital.…”

Section: Qos Levels Computationmentioning

confidence: 99%

“…Indeed, tuning T makes our algorithm generic and flexible, so that it can be applied to multiple dynamic service environments according to their characteristics, particularly their service density [17] and also time constraints in such environments. For instance, if a service environment has a high service density, the system can tune T so that the algorithm will be more selective and give a satisfying number of service compositions.…”

Section: Global Selectionmentioning

confidence: 99%

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QoS-Aware Service Composition in Dynamic Service Oriented Environments

et al. 2009

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Abstract. QoS-aware service composition is a key requirement in Service Oriented Computing (SOC) since it enables fulfilling complex user tasks while meeting Quality of Service (QoS) constraints. A challenging issue towards this purpose is the selection of the best set of services to compose, meeting global QoS constraints imposed by the user, which is known to be a NP-hard problem. This challenge becomes even more relevant when it is considered in the context of dynamic service environments. Indeed, two specific issues arise. First, required tasks are fulfilled on the fly, thus the time available for services' selection and composition is limited. Second, service compositions have to be adaptive so that they can cope with changing conditions of the environment. In this paper, we present an efficient service selection algorithm that provides the appropriate ground for QoS-aware composition in dynamic service environments. Our algorithm is formed as a guided heuristic. The paper also presents a set of experiments conducted to evaluate the efficiency of our algorithm, which shows its timeliness and optimality.

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A semantic end-to-end QoS model for dynamic service oriented environments

Cited by 24 publications

References 12 publications

Service-oriented middleware for the Future Internet: state of the art and research directions

Service-oriented middleware for the Future Internet: state of the art and research directions

A survey on service quality description

QoS-Aware Service Composition in Dynamic Service Oriented Environments

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