Failure recovery in distributed model composition with intelligent assistance

Huang, Hongtao; Chen, Xueguang; Wang, Zhiwu

doi:10.1007/s10796-013-9464-3

Cited by 6 publications

(2 citation statements)

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“…Each service contained basic information such as the service name, input, output, and success probability. The experiments compared three kinds of algorithm: (1) The algorithm (DPSRM) based on the Dynamic Software Product Line approach [17]; (2) The algorithm (IASRM) based on the process ontology and multiple recovery [18]; (3) The data cell self-healing algorithm (DCSRM) proposed in this paper. In addition, we randomly set the effective service that failed as a variant v during the composition, which automatically triggers the service substitution.…”

Section: Experiments Analysismentioning

confidence: 99%

“…Many recent studies have focused on enabling adaptation for BPEL processes. For instance, the monitoring mechanism embedded in the BPEL engine can be used to capture fault messages [10], allowing existing processes to be directly deployed without any modifications. Some scholars perform fault monitoring and recovery through transaction attributes of object states.…”

Section: ) Current Solutions To Failure Recoverymentioning

confidence: 99%

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An evolutionary model for dynamic and adaptative service composition in distributed environment

Lu¹,

Zhou²,

Xu³

et al. 2019

International Conferences on Software Engineering and Knowledge Engineering

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Service composition is an important mean for integrating the individual Web services to create new valueadded systems that satisfy complex requirements. Therefore, how to effectively analyze different types of services and find out the matching similarity between services to efficiently substitute failed services in a distributed and dynamic environment becomes crucial to service composition. In this paper, we propose a novel approach based on a data cell evolution model (DCEM) to support the dynamic adaptation of service compositions. The model combines data service information and biological cell behavior analysis to encapsulate data services into data cells. In order to reach optimum adaptations, we analyzed the static and dynamic structure of data cells based on bigraph theory to guarantee the consistency of service evolution. To evaluate the proposed approach, a series of simulation experiments and comparisons are conducted to demonstrate the effectiveness of service composition.

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Section: Experiments Analysismentioning

confidence: 99%

Section: ) Current Solutions To Failure Recoverymentioning

confidence: 99%