Towards a Cloud Ontology Clustering Mechanism to Enhance IaaS Service Discovery and Selection

Uchibayashi, Toshihiro; Apduhan, Bernady O.; Shiratori, Norio

doi:10.1007/978-3-319-21404-7_40

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…The mechanism explained in a formal way of service-based method as input parameter and output the functional parameters but the parameter for QoS (Quality of service) is not considered for service selection and composition. Uchibayashi T et al in 14 presented an effective framework for cloud service discovery and selection in a hybrid Cloud Computing environment. For enhancement of the cloud service discovery and selection, they used a heuristic cluster mechanism, however, the methodology for clustering based on the keyword does not consider semantics which may create difficulty in complex and semantic cloud service discovery for the users.…”

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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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

View full text Add to dashboard Cite

show abstract

“…As cloud-based services gained prominence among the user groups because of their flexibilities in service provision and infrastructure, a number of cloud service providers came up. Therefore, Uchibayashi et al (2015) observed that the growing number of cloud service providers providing cloud services with non uniform descriptions makes it very difficult for the customer to choose the best compatible service provider matching their needs. In the course of development and magnification of data generation in terms of velocity and volume, the concept of big data is threatening the conventional tools and techniques we use to preserve and process data.…”

Section: Data Magnifications and Cloud Computingmentioning

confidence: 99%

A cloud-based approach to library management solution for college libraries

Shaw

Sarkar

2020

IDD

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Purpose The study aims to focus on the present automation status of the college libraries with an objective to offer enhanced Web-based library service on an affordable virtualization on cloud computing model. Design/methodology/approach With Infrastructure as a Service (Infrastructure as a Service) delivery model, this study demonstrates how libraries of colleges/smaller institutes could be connected to cloud Library Management System infrastructure through internet or dedicated point-to-point WAN connectivity. The Software as a Service (SaaS) delivery model depicts how college libraries could form library consortium at its own private cloud environment with installation of the required LMS application, database, middleware and other prerequisites. Findings A cloud-based consortium approach for the college libraries will reduce the cost of purchasing hardware equipment and setting up of infrastructural facilities; relieve libraries of involving additional IT skilled manpower; foster collaborative approach with shared environment and minimise duplication in resource subscription. Originality/value To the best of the authors’ knowledge, the present study is the first of its kind in the light of shifting of infrastructure, software and hardware requirements of smaller libraries for cooperative sharing in both IaaS and SaaS cloud platform. The study delineates step by step how college libraries could effectively leverage the cooperative cloud architecture for enhanced library services to reach wider user community.

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“…In the hybrid model, the semantic relations between services are based on ontology being explored based on a multi-factor system. A model has been proposed on the basis of ontological clustering to explore cloud substructure services [10]. Substructure-based clusters have been created as a service and the ontology of the semantic relations among them has been established.…”

Section: Related Workmentioning

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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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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Towards a Cloud Ontology Clustering Mechanism to Enhance IaaS Service Discovery and Selection

Cited by 6 publications

References 6 publications

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

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

A cloud-based approach to library management solution for college libraries

Providing a New Model for Discovering Cloud Services Based on Ontology

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