Towards a System for Cloud Service Discovery and Composition Based on Ontology

Guerfel, Rawand; Sbaï, Zohra; Ayed, Rahma Ben

doi:10.1007/978-3-319-24306-1_4

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…In (4), service exploration is done based on SAAS, PAAS, and IAAS. In (5), explored services are classifies based on IAAS. Services are shown based on numbers in classification.…”

Section: Evaluation and Resultsmentioning

confidence: 99%

“…Ontology is a branch of philosophy which studies essence of existence and structure of reality, but, in semantic web space, ontology investigates the classification of topics or the elements in a specific field and offers a list of them. Few studies have been conducted on cloud service discovery [5,6] all of which have aimed to upgrade the quality of exploration process and combine cloud services from various perspectives. With the improvement of communicational substructures and educational practices, the use of cloud computing has increased.…”

Section: Introductionmentioning

confidence: 99%

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Providing a New Model for Discovering Cloud Services Based on Ontology

B.¹,

Aajami²

2017

Eng. Technol. Appl. Sci. Res.

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Due to its efficient, flexible, and dynamic substructure in information technology and service quality parameters estimation, cloud computing has become one of the most important issues in computer world. Discovering cloud services has been posed as a fundamental issue in reaching out high efficiency. In order to do one’s own operations in cloud space, any user needs to request several various services either simultaneously or according to a working routine. These services can be presented by different cloud producers or different decision-making policies. Therefore, service management is one of the important and challenging issues in cloud computing. With the advent of semantic web and practical services accordingly in cloud computing space, access to different kinds of applications has become possible. Ontology is the core of semantic web and can be used to ease the process of discovering services. A new model based on ontology has been proposed in this paper. The results indicate that the proposed model has explored cloud services based on user search results in lesser time compared to other models.

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“…In (4), service exploration is done based on SAAS, PAAS, and IAAS. In (5), explored services are classifies based on IAAS. Services are shown based on numbers in classification.…”

Section: Evaluation and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Providing a New Model for Discovering Cloud Services Based on Ontology

B.¹,

Aajami²

2017

Eng. Technol. Appl. Sci. Res.

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“…However, this mechanism lacks accuracy in matching the business functions in order to maintain the quality of service (QoS) parameters. Gueferl R et al 13 proposed a mechanism for cloud service discovery based on cloud ontology with their composition of services for complex requirements. The mechanism used in the proposed system can resolve service requests by the user even complex requirements.…”

Section: Literature Reviewmentioning

confidence: 99%

FIPA‐based reference architecture for efficient discovery and selection of appropriate cloud service using cloud ontology

Abbas

Mehmood

Lloret

et al. 2020

Int J Communication

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Cloud Computing (CC) is considered the latest emerging computing paradigm and has brought revolutionary changes in computing technology. With the advancement in this field, the number of cloud users and service providers is increasing continuously with more diversified services. Consequently, the selection of appropriate cloud service has become a difficult task for a new cloud customer. In case of inappropriate selection of a cloud services, a cloud customer may face the vendor locked-in issue and data portability interoperability problems. These are the major obstacles in the adoption of cloud services. To avoid these complexities, a cloud customer needs to select an appropriate cloud service at the initial stage of the migration to the cloud. Many researches have been proposed to overcome the issues but problems still exist in intercommunication standards among clouds and vendor locked-in issues. This research proposed an IEEE multi-agent FIPA (Foundation for Intelligent Physical Agent) compliance multi-agent reference architecture for cloud discovery and selection using cloud ontology. The proposed approach will mitigate the prevailing vendor locked-in issue and also alleviate the portability and interoperability problems in Cloud Computing. To evaluate the proposed reference architecture and compare it with the state-of-the-art existing approaches, several experiments have been performed by utilizing the commonly used performance measures. Analysis indicates that the proposed approach enables significant improvements in cloud service discovery and selection in terms of search efficiency, execution and response time.

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