Exception Diagnosis for Composite Service

2011 ◽  
Vol 186 ◽  
pp. 307-311
Author(s):  
Yu Dai ◽  
Lei Yang ◽  
Bin Zhang ◽  
Zhi Liang Zhu

Since accurately identifying the error source which causes the exception is important, the problem of diagnosis for composite service becomes one of the key issues in the adaptive service composition. This paper proposes an approach for diagnosing composite service. In this approach, the uncertain casual relation between the exception and the service is formed by the way of computing the error propagation degree. The diagnosing algorithm which is based on the error dependent matrix is established. The diagnosis can be achieved by fuzzy reasoning. This approach can preserve the efficiency and accuracy of the diagnosis for composite service, which can support the self-adaptation of the composite service effectively.

2019 ◽  
Vol 15 (3/4) ◽  
pp. 144-173
Author(s):  
Sihem Cherif ◽  
Raoudha Ben Djemaa ◽  
Ikram Amous

Purpose This paper aims to propose an approach for the self-adaptation of the Web composition called SAMIWA. The SAMIWA framework helps users during the search, invocation and composition of the appropriate Web service. Design/methodology/approach The authors’ approach allows expressing requirements by taking into account potential users’ context in addition to the functional one. Findings In this paper, the authors introduce a new context-aware approach that provides a dynamic adaptation of service compositions. Originality/value The author has implemented a Web application that enables selection and composition of the most appropriate composite service.


2004 ◽  
Vol 56 ◽  
pp. 447-454 ◽  
Author(s):  
Pravin Chandra ◽  
Yogesh Singh

Author(s):  
Hailong Sun ◽  
Jin Zeng ◽  
Huipeng Guo ◽  
Xudong Liu ◽  
Jinpeng Huai

Service composition is a widely accepted method to build service-oriented applications. However, due to the uncertainty of infrastructure environments, service performance and user requests, service composition faces a great challenge to guarantee the dependability of the corresponding composite services. In this chapter, we provide an insightful analysis of the dependability issue of composite services. And we present a solution based on two-level redundancy: component service redundancy and structural redundancy. With component service redundancy, we study how to determine the number of backup services and how to guarantee consistent dependability of a composite service. In addition, structural redundancy aims at further improving dependability at business process level through setting up backup execution paths.


Author(s):  
JONATHAN LEE ◽  
SHANG-PIN MA ◽  
YING-YAN LIN ◽  
SHIN-JIE LEE ◽  
YAO-CHIANG WANG

Service-Orientated Computing (SOC) has become a main trend in software engineering that promotes the construction of applications based on the notion of services. SOC has recently attracted the researchers' attention and has been adopted industry-wide. However, service composition that enables one to aggregate existing services into a new composite service is still a highly complex and critical task in service-oriented technology. To enhance availability of composite services, we propose a discovery-based service composition framework to better integrate component services in both static and dynamic manner, including (1) to devise a notion of service availability especially for composition; (2) to develop a dynamic service composition (DSC) pattern for addressing the issues of service availability; and (3) to extend Contract Net Protocol (ECNP) to coordinate service discovery, composition and invocation based on the composite pattern. The main benefit of the proposed approach is better availability through attaching multiple candidate services for future binding.


2014 ◽  
Vol 602-605 ◽  
pp. 3152-3155 ◽  
Author(s):  
Zhi Gao Chen

These years, a new networked manufacturing mode named cloud manufacturing is arising. Cloud manufacturing comprehensively uses various information technology, manufacturing technology and management technology, through virtualization and servitization of manufacturing hardware and software resources. CloudM is to provide user with on-demand, always-ready, high-quality and low-consumption service, which is available from product design, manufacturing, testing, simulation and maintenance and other manufacturing lifecycle process. Service composition is one of the key issues in implementing CloudM system. In this paper, an adaptive ant algorithms have been proposed, which In hadoop environment to optimize the use of composite service execution path. As the experimental result shown, this method can effectively avoid the congestion of data on the critical path.


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