An Ontology-Based Resource Selection Service on Science Cloud

Yoo, Hyunjeong; Hur, Cinyoung; Kim, Seo Young; Kim, Chongam

doi:10.1007/978-3-642-10549-4_26

Cited by 21 publications

(11 citation statements)

References 4 publications

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“…Y 00 et al [15] presented a resource selection service based on Cloud ontology to virtualize physical resources and combine them into new resources for which a degree of similarity is computed to determine the ones that best meet the user's requirements.…”

Section: Han and Sim [[4] Built A Cloud Service Discovery Systemmentioning

confidence: 99%

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A Cloud Services Research and Selection System

Abourezq

Idrissi

2014

2014 International Conference on Multimedia Computing and Systems (ICMCS)

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Cloud computing is a technology that has emerged in the last decade and that is transforming the IT industry. Our interest in this work is the research area of Cloud services search and selection systems. These systems allow Cloud users to search through Cloud services and find the ones that match their requirements. In this paper, we present a Cloud Service Research and Selection System based on an adaptation of the Skyline algorithm. The system selects Cloud services that best meet the users' requirements from a database of Cloud services. We also present some experimental results which approve our method.

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Section: Han and Sim [[4] Built A Cloud Service Discovery Systemmentioning

confidence: 99%

“…They select the requirements (name, provider, service model, bandwidth ... ) that Cloud services must meet and view the returned results via this interface. We chose the requirements that are the common ground to existing and upcoming Cloud ontologies [13,14,15,20,21].…”

Section: The Prototype Of the Cloud Service Research And Selectionmentioning

confidence: 99%

A Cloud Services Research and Selection System

Abourezq

Idrissi

2014

2014 International Conference on Multimedia Computing and Systems (ICMCS)

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“…It also allows the users to add Cloud services by filling in their attributes such as the name, the provider, the bandwidth, the OS, etc. We think that these requirements are the common ground to existing and upcoming Cloud ontologies [43, 45,46,8,55].…”

Section: The Cloud Service Research and Selection System (Csrss)mentioning

confidence: 99%

“…A resource selection service based on Cloud ontology is presented in [46]. It generates Virtual Ontologies (Vons) based on virtualized resources and combine them into new resources.…”

Section: Introductionmentioning

confidence: 99%

Introduction of an outranking method in the Cloud computing research and Selection System based on the Skyline

Abourezq

Idrissi

2014

2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)

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In this paper, we present an improvement of the Cloud Service Research and Selection System (CSRSS) which allows Cloud users to search through Cloud services in the database and find the ones that match their requirements. The CSRSS is based on the Skyline and showed some promising first results. We consider that the research and selection of a Cloud service among a set of Cloud services is a choice problem. So, in this work, we thought of using outranking methods in order to better refine the results. Our work's main contribution is conceiving an Agent that uses both the Skyline and an outranking method to determine which Cloud services meet best the users' requirements. Empirical results show that our method is effective and very promising.

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“…Ontology is defined as a systematic classification which exist in the world of interest, and is obtained by explicitly stating the formal relationships [6]. Through the use of ontology, more precise cloud services can be obtained that matches or nearest-match to the user requirements.…”

Section: Introductionmentioning

confidence: 99%

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

Uchibayashi

Apduhan

Shiratori

2015

Computational Science and Its Applications -- ICCSA 2015

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Abstract. The continuing advances in cloud computing technology, infrastructures, applications, and hybrid cloud have led to provide solutions to challenges in big data and high performance computing applications. The increasing number of cloud service providers offering cloud services with nonuniform descriptions has made it time consuming to find the best match service with the user's requirements.This paper is an effort to speed up the service discovery and selection of IaaS cloud services which is "best-match" to the user requirements. Preliminary experiments provided promising results which demonstrates the viability of the approach.

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An Ontology-Based Resource Selection Service on Science Cloud

Cited by 21 publications

References 4 publications

A Cloud Services Research and Selection System

A Cloud Services Research and Selection System

Introduction of an outranking method in the Cloud computing research and Selection System based on the Skyline

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

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