Transaction Management Issues in Web Service-oriented Electronic Commerce Systems: Performance Evaluation

In general, provenance describes the origin and well-documented history of a given object. This notion has been applied in information systems, mainly to provide data provenance of scientific workflows. Similar to this, provenance in Service-oriented Computing has also focused on data provenance. However, the authors argue that in service-centric systems the origin and history of services is equally important. This paper presents an approach that addresses service provenance. The authors show how service provenance information can be collected and retrieved, and how security mechanisms guarantee integrity and access to this information, while also providing user-specific views on provenance. Finally, the paper gives a performance evaluation of the authors’ approach, which has been integrated into the VRESCo Web service runtime environment.

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Selective Service Provenance in the VRESCo Runtime

International Journal of Web Services Research ◽

10.4018/jwsr.2010040104 ◽

2010 ◽

Vol 7 (2) ◽

pp. 65-86 ◽

Cited By ~ 3

Author(s):

Anton Michlmayr ◽

Florian Rosenberg ◽

Philipp Leitner ◽

Schahram Dustdar

Keyword(s):

Performance Evaluation ◽

Information Systems ◽

Web Service ◽

Scientific Workflows ◽

Data Provenance ◽

Provenance Information ◽

Selective Service ◽

Runtime Environment ◽

Service Oriented ◽

History Of

In general, provenance describes the origin and well-documented history of a given object. This notion has been applied in information systems, mainly to provide data provenance of scientific workflows. Similar to this, provenance in Service-oriented Computing has also focused on data provenance. However, the authors argue that in service-centric systems the origin and history of services is equally important. This paper presents an approach that addresses service provenance. The authors show how service provenance information can be collected and retrieved, and how security mechanisms guarantee integrity and access to this information, while also providing user-specific views on provenance. Finally, the paper gives a performance evaluation of the authors’ approach, which has been integrated into the VRESCo Web service runtime environment.

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Web Service Candidate Identification Using the Firefly Algorithm

International Journal of Web Services Research ◽

10.4018/ijwsr.2018100103 ◽

2018 ◽

Vol 15 (4) ◽

pp. 45-60

Author(s):

Negar Abbasi ◽

Ali Moeini ◽

Taghi Javdani Gandomani

Keyword(s):

Web Service ◽

Firefly Algorithm ◽

Service Oriented Architecture ◽

High Reliability ◽

Legacy Software ◽

Service Identification ◽

Service Oriented ◽

Automatic Methods ◽

Reservation System ◽

Candidate Identification

Identification of web service candidates in legacy software is a crucial process in the reengineering of legacy systems to service oriented architecture. Researchers have proposed various automatic and semi-automatic methods for this purpose, some of which have proved to be quite efficient, but there are still certain gaps which need to be addressed. This article discovers the strengths and weaknesses of previous methods and develops a method with improved service candidate identification performance. In this article, service identification is considered as a search and optimization problem and a firefly algorithm is developed accordingly to give high-quality solutions in reasonably short times. A filtering method is also developed to remove excess modules (false positives) from the algorithm outputs. A case study on a legacy flight reservation system demonstrates the high reliability of the outputs given by the proposed method.

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PROCESS MODEL ONTOLOGY-BASED MATCHMAKING OF SEMANTIC WEB SERVICES

International Journal of Cooperative Information Systems ◽

10.1142/s0218843011002262 ◽

2011 ◽

Vol 20 (04) ◽

pp. 357-370 ◽

Cited By ~ 4

Author(s):

D. PAULRAJ ◽

S. SWAMYNATHAN ◽

M. MADHAIYAN

Keyword(s):

Web Services ◽

Semantic Web ◽

Web Service ◽

Process Model ◽

Service Discovery ◽

Service Oriented Architecture ◽

Semantic Web Services ◽

Functional Part ◽

Service Oriented ◽

Concise Description

One of the key challenges of the Service Oriented Architecture is the discovery of relevant services for a given task. In Semantic Web Services, service discovery is generally achieved by using the service profile ontology of OWL-S. Profile of a service is a derived, concise description and not a functional part of the semantic web service. There is no schema present in the service profile to describe the input, output (IO), and the IOs in the service profile are not always annotated with ontology concepts, whereas the process model has such a schema to describe the IOs which are always annotated with ontology concepts. In this paper, we propose a complementary sophisticated matchmaking approach which uses the concrete process model ontology of OWL-S instead of the concise service profile ontology. Empirical analysis shows that high precision and recall can be achieved by using the process model-based service discovery.

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