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Journal ArticleDOI

An ontology-based cloud infrastructure service discovery and selection system

TLDR
An ontology-based cloud infrastructure service discovery and selection system that defines functional and non-functional concepts, attributes and relations of infrastructure services is designed and it is shown how the system enables one to discover appropriate services optimally as requested by consumers.
Abstract
In recent years, due to global economic downfall, many of the organisations have resorted to downsizing their Information Technology (IT) expenses by adopting innovative computing models like cloud computing, which allows business houses to reduce their fixed IT costs by promising a greener, scalable, cost-effective alternative to utilise the IT resources. A growing number of pay-per-use cloud services are now available on the web in the form of Software as a Service (SaaS), Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). With the increase in the number of services, there has also been an increase in demand and adoption of cloud services making cloud service identification and discovery a challenging task. This is due to varied service, descriptions, non-standardised naming conventions, heterogeneity in type and features of cloud services. Thus, selecting an appropriate cloud service according to consumer requirements is a daunting task, especially for applications that use a composition of different cloud services. In this paper, we have designed an ontology-based cloud infrastructure service discovery and selection system that defines functional and non-functional concepts, attributes and relations of infrastructure services. We have shown how the system enables one to discover appropriate services optimally as requested by consumers.

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Journal ArticleDOI

An intelligent cloud service discovery framework

TL;DR: A comprehensive, standardized, flexible, and intelligent cloud service discovery framework that provides a user-centric interface that enables users with low knowledge about cloud concepts to compose complex queries using their natural English language and effectiveness evaluation shows that the proposed framework provides better results than other solutions.
Journal ArticleDOI

Service-oriented Broker for Effective Provisioning of Cloud Services – a Survey

TL;DR: The need for service-oriented broker to enhance the discovery and provisioning process of cloud services is emphasized and a number of research issues are summarized towards achieving service excellence further.
Journal ArticleDOI

Enhanced semantic similarity measure based on two‐level retrieval model

TL;DR: A Cloud service discovery crawler that employs a two‐level semantic similarity measure based on both TF‐IDF and LDA models is proposed and a Cloud Service Ontology (CSOnt) that contains a set of concepts defining Cloud service categories is presented.
Journal ArticleDOI

Semantic-based discovery method for high-performance computing resources in cyber-physical systems

TL;DR: A unified semantic model named HPCRO is proposed for specifying cross-regional HPC resources, and a WordNet-based quick resource index list data structure called WQRIL is proposed to improve the query to obtain more semantic information for queries.
Proceedings ArticleDOI

Building Quick Resource Index List Using WordNet and High-Performance Computing Resource Ontology towards Efficient Resource Discovery

TL;DR: The proposed HPC resource ontology model can provide a unified representation of HPC resources, but also can support semantic-based fuzzy matching, and improves the usability and utilization of hardware and software resources effectively in cross-regional high-performance computing centers.
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