A dual-layered model for web services representation and composition

Tari, Abdelkamel; Elgedawy, Islam; Dahmani, Abdelnasser

doi:10.1007/s10844-008-0067-2

Cited by 10 publications

(3 citation statements)

References 7 publications

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“…In the literature [9], it pointed out that the combination mode based on workflow decomposes business processes into some ordered functional nodes, using workflow modeling language to define combinati on frame, using a specific web service to fill function point, and then the executable combination scheme is obtained. BPEL4WS (Process Execution Business Language for Web Services) [10] has become the industry standard based on the workflow static WEB service composition, but it can not respond to changed fastly business activities [11][12].…”

Section: Overview Of Web Service Compositionmentioning

confidence: 99%

Application of WEB Service Composition in Intelligent Distribution

Zhang

Zhu

Ying

2016

IOTCC

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In 2014, Premier Keqiang Li chaired a State Council executive meeting, discussed and adopted the "long-term development of the logistics industry planning", which proposed that by 2020 there will essencially establish modern logistics service system, enhancing logistics industry standards, information, intelligence, intensive level, improving the overall economic efficiency and benefit [1]. A series of modern information technologies like the Internet of things, cloud computing, big data, smart logistics, Internet plus, these promote Chinese intelligent logistics transformation [2]. The development of modern society can not work without information technology, and how to realize information sharing is one of the problem that must be resolve in the modern supply chain management. Only the various companies of supply chain share a variety of information with each others, it can manage effectively and improve ability of the decision-making about the ration of resources. However, due to the change of business, the isomeric change of enterprise information systems, changes in the structure of the supply chain and others, it hinders the information sharing in most cases. This article with the purpose of designing an intelligent distribution system based on WEB service combination, building a WEB service composition model that can make fast reaction to the market. Taking intelligent distribution system as an example to solve the obstacles that affect the information sharing in supply chain.

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Section: Overview Of Web Service Compositionmentioning

confidence: 99%

Application of WEB Service Composition in Intelligent Distribution

Zhang

Zhu

Ying

2016

IOTCC

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“…For a variety of reasons discussed in detail in [1][2][3][4], this vision has not yet been realized.…”

Section: Introductionmentioning

confidence: 99%

Leveraging Social Networks to Improve Service Selection in Workflow Composition

McDowall

Kerschberg

2012

2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

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In recent years, social media has expanded from a niche application with a student-focused user base to a mainstream tool used by individuals and business to maintain and expand their social and business networks. The result is a rich source of data that can help service consumers and service providers connect with each other in new and interesting ways. This paper describes research that leverages social media to help users optimize service selections when composing executable workflows from among both web services and physical services.

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“…This research explores this issue. In general, web service systems consist of the following layers [17]: (i) an execution layer which controls the execution of composite Web services and manages dataflow between them, and (ii) an application service layer which delivers requested functionalities to clients. Web services are designed according to service oriented computing (SOC) paradigm [9] and represent encapsulated functionalities of applications.…”

Section: Introductionmentioning

confidence: 99%

Gaussian process regression as a predictive model for Quality-of-Service in Web service systems

Tomczak,

Swiatek,

Latawiec

2012

Preprint

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In this paper, we present the Gaussian process regression as the predictive model for Quality-of-Service (QoS) attributes in Web service systems. The goal is to predict performance of the execution system expressed as QoS attributes given existing execution system, service repository, and inputs, e.g., streams of requests. In order to evaluate the performance of Gaussian process regression the simulation environment was developed. Two quality indexes were used, namely, Mean Absolute Error and Mean Squared Error. The results obtained within the experiment show that the Gaussian process performed the best with linear kernel and statistically significantly better comparing to Classification and Regression Trees (CART) method.

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A dual-layered model for web services representation and composition

Cited by 10 publications

References 7 publications

Application of WEB Service Composition in Intelligent Distribution

Application of WEB Service Composition in Intelligent Distribution

Leveraging Social Networks to Improve Service Selection in Workflow Composition

Gaussian process regression as a predictive model for Quality-of-Service in Web service systems

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