An approach to modeling web service QoS and provision price

Gouscos, Dimitris; Kalikakis, Manolis; Georgiadis, Panagiotis

doi:10.1109/wisew.2003.1286794

Cited by 44 publications

(21 citation statements)

References 14 publications

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“…5) reliability: it shows the level of maintenance service and the service quality, in another sense, reliability is refers to the sending and receiving message of guarantee and orderly transfer (consistency) between the service requester and the service providers [7]. It includes fault resistance, consistency, and maintainability.…”

Section: B Web Service Qos Quality Attributementioning

confidence: 99%

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An Improved Algorithm of Fuzzy on the QoS Evaluation of Web Services Based on OWL-QoS Ontology

Zhang¹,

Zhang²,

Xing³

et al. 2013

Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information

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-Presently, there is not a complete description and resolution method about the redundancy membership degree of Web service's computing properties among the methods of Web service quality evaluation. In this paper, Web service description is extended based on the OWL-QoS(Ontology Web Language-Quality of Service) Ontology, web service QoS evaluation model is established, the algorithm of fuzzy comprehensive evaluation is improved on differentiating redundancy membership degree. It eliminates redundant data in membership degrees of index which is useless for objective classification. It realizes membership degree conversion, and the conversion process will not add any new prior knowledge. The algorithm is used in the Web Service QoS evaluation. Finally, the practicality of this algorithm is verified by an instance.

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Section: B Web Service Qos Quality Attributementioning

confidence: 99%

“…Obviously, class ratio of different index has comparable and direct additivity. Therefore, the sum of the comparableworth of k class of target Q target is shown by (7). Obviously, relatively bigger value of ) (Q M k shows the degree of Q belonging to the class k C is bigger.…”

Section: B Comparableworth and Membership Conversion β J (Q)mentioning

confidence: 99%

An Improved Algorithm of Fuzzy on the QoS Evaluation of Web Services Based on OWL-QoS Ontology

Zhang¹,

Zhang²,

Xing³

et al. 2013

Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information

View full text Add to dashboard Cite

show abstract

“…S.Adreozzi, P. Ciancarini, D. Montesi, R. Moretti [1] present a model for rigorous representation of service characteristics. D. Gouscos, M. Kalikakis, and P. Georgiadis [6] present a simple approach to model certain web service management attributes. J.P Thomas, M.Thomas and G.Ghinea [11] represent distributed web service by modeling the flow of messages and methods in a web service transaction.…”

Section: Related Workmentioning

confidence: 99%

Cloud Computing: Future Framework for e-Governance

Mukherjee¹,

Sahoo²

2010

IJCA

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The success of the forthcoming endeavors of human civilization depends on the proper utilization of the resources which are becoming scarce day by day. It is observed that while some places have plenty of resources, other places suffer from the lack of it. This discrimination can be wiped out by a proper management and strategy adopted by the Governments of different countries in the form of a properly implemented and managed e-Governance. The existing e-Governance framework can not address all categories of users. In this paper, we propose a new effective framework of e-Governance based on cloud computing concept, which would be intelligent as well as accessible by all.

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“…Andreozzi et al [2] present a model for rigorous representation of service characteristics. Gouscos et al [3] presents a simple approach to model certain web service management attributes. Thomas et al [4] represent distributed web service by modeling the flow of messages and methods in a web service transaction.…”

Section: Related Workmentioning

confidence: 99%

Development of Mathematical Model for Market-Oriented Cloud Computing

Mukherjee¹,

Sahoo²

2010

IJCA

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Cloud computing is an emerging approach to a shared infrastructure of computing resources in which large pools of systems or clouds are linked together via the internet to provide IT services, such as securely managing billions of online transactions and other highly data-intensive application. Cloud computing is being driven by several factors, including the dramatic growth of connected devices, such as mobile phones, smart cards and other devices. It can be used to break many computing tasks into many smaller pieces and managed in parallel on a massive scale. Thus, Cloud computing offers a simplified, centralized platform for use when needed, lowering costs and energy use. But cloud computing is in its nascent stage of progression. There are no mathematical models regarding the performance analysis of cloud computing. In this paper, we intend to introduce Mathematical Model for cloud computing.

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An approach to modeling web service QoS and provision price

Cited by 44 publications

References 14 publications

An Improved Algorithm of Fuzzy on the QoS Evaluation of Web Services Based on OWL-QoS Ontology

An Improved Algorithm of Fuzzy on the QoS Evaluation of Web Services Based on OWL-QoS Ontology

Cloud Computing: Future Framework for e-Governance

Development of Mathematical Model for Market-Oriented Cloud Computing

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