SADICO: Self-ADaptIve Approach to the Web Service COmposition

Nabli, Hajer; Cherif, Sihem; Djmeaa, Raoudha Ben; Amous, Ikram

doi:10.1007/978-3-319-59480-4_26

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…Dissimilar to Web services, which are defined and published according to standards (WSDL, OWLS, UDDI, etc), there is no standard language for Cloud services. In addition, tending to keep up with the tremendous growth of the World Wide Web, many methods are proposed to target on how to retrieve and organize Cloud services information in a way, that will help users to find the required Cloud service more easily and efficiently.…”

Section: An Improved Semantic Similarity Measurementioning

confidence: 99%

Enhanced semantic similarity measure based on two‐level retrieval model

Djemaa

Nabli

Amous

2019

Concurrency and Computation

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Summary With the rapid spread of services in the Cloud computing environment, it is difficult for users to find the right service. Therefore, the necessity of a search engine with semantic focused crawler becomes a fundamental requirement. However, the huge size and varied functionalities of Cloud services on the Web, together with the lack of standardized and coherent description of services available, have a great effect for crawlers in order to provide effective Cloud services. To solve these issues, we propose a Cloud service discovery crawler that employs a two‐level semantic similarity measure based on both TF‐IDF and LDA models. Moreover, in order to automatically discover and categorize Cloud services, we present a Cloud Service Ontology (CSOnt) that contains a set of concepts defining Cloud service categories. Experimental results show that the proposed method enhances the performance of the focused crawlers and presents an efficient way to parse the Web and collect Web pages relevant to Cloud services.

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Section: An Improved Semantic Similarity Measurementioning

confidence: 99%

Enhanced semantic similarity measure based on two‐level retrieval model

Djemaa

Nabli

Amous

2019

Concurrency and Computation

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“…Zhu et al [17] argue that effective runtime adaptation of service needs real changes in QoS of web services for timely and accurate decisions about -When to trigger adaptation action?, Which web service to replace in execution?, and Which candidate web service to select? Adaptable Web Services Framework (AWSF) [18] and Self ADaptIve for web service Compositon (SADICO) [19] are the two frameworks which take into consideration the service user's context (e.g. device features such as screen size, bandwidth, or user location) and adapt the web service behavior so that web service becomes more relevant and useful.…”

Section: Related Workmentioning

confidence: 99%

Effective Service Composition Approach based on Pruning Performance Bottlenecks

Kahlon¹,

Chahal²

2019

9th International Conference on Computer Science, Engineering and Applications (CCSEA 2019)

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In recent years, several online services have proliferated to provide similar services with same functionality by different service providers with varying Quality of Service (QoS) properties. So, service composition should provide effective adaptation especially in a dynamically changing composition environment. Meanwhile, a large number of component services pose scalability issues. As a result, monitoring and resolving performance problems in web services based systems is challenging task as these systems depend on component web services that are distributed in nature. In this paper, a distributed approach is used to identify performance related problems in component web services. The service composition adaptation provides timely replacement of the performance bottleneck source that can prohibit performance degradation for the forthcoming requests. Experimentation results demonstrate the efficiency of the proposed approach, and also the quality of solution of a service composition is maintained.

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