A Petri Net Approach to Mediation-Aided Composition of Web Services

Du, Yuyue; Li, Xitong; Xiong, Pengcheng

doi:10.1109/tase.2012.2188511

Cited by 57 publications

(21 citation statements)

References 14 publications

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“…In order to generate the BPEL code automatically, Yanhuna Du et al [10] proposed the Petri Net approach that automatically can verify the composition of partially incompatible services and also serves the time in such a way which will generate the BPEL code. This approach consist of 3 phases: Modeling composition of services is modeled as open WorkFlow Nets (oWFNs) which are composed by using the mediation transaction (MTs).…”

Section: Literature Surveymentioning

confidence: 99%

Evaluation Model for Web Service Change Management Based on Business Policy Enforcement

Thirumaran

Dhavachelvan

Rajakumari

et al. 2012

2012 International Symposium on Cloud and Services Computing

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Today organizations in all industries particularly financial services, retail and communications are increasingly dependent upon IT and a highly available network to meet their business objectives. As customer expectations and demands rise, network operations teams are focusing on IT service-quality improvement and achieving higher levels of availability by re-examining processes and procedures particularly in the area of change management because changes to the network are often a source of downtime. Growing complexity of customer needs is one of the prevailing problems faced by IT enterprises at present, leading to increasingly complex IT service management systems. At the same time, quick response to unexpected problems and externally imposed requirements are testing the IT change management. Although there exists many change management issues and solutions, there is no proper support for efficient change evaluation and monitoring. Present change management works are done only in the web service interface such as WSDL Web Service Definition Language and there is no proper support for dynamic nature in them. In order to provide a flexible environment for the Business Analyst to perform the emergency changes over the service business logic without the need of IT staff and also to evaluate changes made, we propose a Finite State Machine based Evaluation Model for Web Service Runtime Change Management and also a set of change factors to evaluate runtime changes of web services. Among which we mainly focus on the factor Business Policy Enforcement which is used for checking whether there is any policy violation with respect to the changes made. We first define the various change factors and derive a mathematical solution for each one. The derived solution is considered as the change measure for individual change factor. A case study from banking domain is provided to validate the proposed framework.

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Section: Literature Surveymentioning

confidence: 99%

Evaluation Model for Web Service Change Management Based on Business Policy Enforcement

Thirumaran

Dhavachelvan

Rajakumari

et al. 2012

2012 International Symposium on Cloud and Services Computing

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“…Besides, AAL applications in a CDC are typically designed and developed based on a multi-tier architecture. Recently, there are several papers resource provisioning [16], and QoS management [17][18][19]. Different from existing papers on AAL applications, this paper focuses on modeling and analysis of multi-tier AAL applications from the perspective of queueing theory [20].…”

Section: Introductionmentioning

confidence: 99%

Heuristic virtual machine allocation for multi-tier Ambient Assisted Living applications in a cloud data center

Yuan

Tie³

et al. 2016

China Commun.

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“…SOC provides mechanisms for publication, discovery, selection, and composition of Web services, and thus facilitates the integration of complex and heterogeneous software components [2], [3]. With the advent of Web 2.0 and cloud computing, an increasing number of services are provided by encapsulating software components or any resource, 1 and services can even be accessed via devices such as mobile phones and PDAs.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, we provide some operations for managing DP service clusters when: (i) new services merge or (ii) existing services drop off sometime for some reasons. Following [4], we assume the existence of a domain ontology (called mediated ontology in [4]) represented in RDF 3 format to capture the knowledge in a given domain [27]. We model DP services as RDF parameterized views.…”

Section: Introductionmentioning

confidence: 99%

Data Providing Services Clustering and Management for Facilitating Service Discovery and Replacement

Zhou

Sellami

Gaaloul

et al. 2013

IEEE Trans. Automat. Sci. Eng.

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In service-oriented computing, a user usually needs to locate a desired service for: (i) fulfilling her requirements or (ii) replacing a service, which disappears or is unavailable for some reasons, to perform an interaction. With the increasing number of services available within an enterprise and over the Internet, locating a service online may not be appropriate from the performance perspective, especially in large Internet-based service repositories. Instead, services usually need to be clustered according to their similarity. Thereafter, services in one or several clusters are necessary to be examined online during dynamic service discovery. In this paper, we propose to cluster data providing (DP) services using a refined fuzzy -means algorithm. We consider the composite relation between DP service elements (i.e., input, output, and semantic relation between them) when representing DP services in terms of vectors. A DP service vector is assigned to one or multiple clusters with certain degrees. In addition, we introduce some operations for managing service clusters, when new services emerge or existing services disappear or become unavailable. When grouping similar services into one cluster, while partitioning different services into different clusters, the capability of service search engine is improved significantly. We have prototyped our approach and the source code is freely available on the web. We have evaluated our clustering approach in different settings and the results are very promising.Note to Practitioners-DP services are common nowadays, and there are a huge number of DP services in the Internet-scale environment. Locating an appropriate DP service accurately and efficiently with respect to the requirements of a certain requestor is a challenging task. This work presents a novel clustering-oriented approach, which aims to group DP services into clusters offline leveraging the semantic description of these DP services, and provides operations for managing these clusters. The clustering procedure is conducted by means of a machine learning technique which is a refined fuzzy -means method. A DP service can be assigned to one or several clusters with certain degrees. DP service clusters constitute a cluster network. Operations are provided for facilitating the evolution of cluster network, when a DP service emerges or disappears sometime for some reason. A prototype has been implemented and the approach has been evaluated on two test collections of DP services considering factors impacting the efficiency. Our method can be readily used in industrial DP service repository for supporting DP service discovery and replacement.

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A Petri Net Approach to Mediation-Aided Composition of Web Services

Cited by 57 publications

References 14 publications

Evaluation Model for Web Service Change Management Based on Business Policy Enforcement

Evaluation Model for Web Service Change Management Based on Business Policy Enforcement

Heuristic virtual machine allocation for multi-tier Ambient Assisted Living applications in a cloud data center

Data Providing Services Clustering and Management for Facilitating Service Discovery and Replacement

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