FIPA-BASEDREFERENCE ARCHITECTURE FOR EFFICIENT DISCOVERY AND SELECTION OF APPROPRIATECLOUD SERVICE USING CLOUD ONTOLOGY
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Author:
GHULAM ABBAS
Citable URI :
https://vspace.vu.edu.pk/detail.aspx?id=349
Publisher :
Virtual University
Date Issued:
7/5/2020 12:00:00 AM
Abstract
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 are increasing continuously with more diversified services.
Consequently, the selection of appropriate Cloud services 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, data portability, and interoperability issues. To avoid these
complexities, a Cloud customer needs to select a required Cloud service at the initial stage of the
migration to the Cloud. Many researchers have proposed their approaches to overcome these
issues; however, problems still exist in inter-communication standards among Clouds and vendor
locked-in issues. This thesis contributed an IEEE-FIPA (Foundation for Intelligent Physical
Agent) compliance multi-agent reference architecture for efficient discovery and selection of
Cloud services 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. In order to assess the proposed reference architecture and compare with the
state-of-the-art approaches, three different use cases are presented. In addition, a number of
experiments have been performed and results are obtained in terms of Precision, Recall and
F-measure. The obtained results reveal that our proposed approach performs better in Cloud
discovery and selection service with respect to search efficiency, execution, and response time.
URI :
https://vspace.vu.edu.pk/details.aspx?id=349
Citation:
Abbas,G(2019).FIPA-BASEDREFERENCE ARCHITECTURE FOR EFFICIENT DISCOVERY AND SELECTION OF APPROPRIATECLOUD SERVICE USING CLOUD ONTOLOGY. Virtual University of Pakistan(Lahore, Pakistan)
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Final Version
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