AL-Gabri Malek
Wuhan University of Technology

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An Optimal Semantic Network-Based Approach for Web Service Composition with QoS Naji Hasan.A.H; Gao Shu; AL-Gabri Malek; Jiang Zi-Long
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

As the spread of web services, the composition of web services becomes a hot topic on both the academia and IT domains. The composition of services depends on the semantic descriptions, which describe the functionality of the services, provided by the owners of services and on the description of the consumer’s requests. The composition also depends on non-functional descriptions (QoS). In this paper, we present an approach of web services composition based on both semantic description and QoS. The proposed approach builds a network of web services by matchmaking the semantic concepts in OWL-S, using the outputs-inputs similarity between services. Then, many composed assemblies can be created by combining web services in the semantic network according to consumer’s needs. Those composed assemblies will be ranked by the QoS that provided by the consumer and the suitable one will be sent back to the consumer. This approach takes the advantages from Pellete DL Reasoner, depth-first and forward chaining algorithms. A prototype and a study case are presented to illustrate the efficiency of our approach. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3068
An Efficient Approach based on Hierarchal Ontology for Service Discovery in Cloud Computing Naji Hasan.A.H; Gao Shu; AL-Gabri Malek; Jiang Zi-Long
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

As service providers publish their web services in clouds environment, selecting the most appropriate service among these clouds becomes a very difficult challenge. This paper proposes an efficient approach based on hierarchal ontology to facilitate service discovery in cloud computing. Concepts of services and their relations, which describe services semantically, are distributed in a hierarchal ontology. In addition a matching mechanism for matching these concepts in order to match services in clouds is proposed. The matching results will be evaluated by the QoS of services to select the appropriate service among matched services. A case study is presented to prove the efficiency of our approach. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4850