Generic-distributed framework for cloud services marketplace based on unified ontology

Hasan, Samer Sami; Kumari, V. Valli

doi:10.1016/j.jare.2017.07.003

Cited by 11 publications

(10 citation statements)

References 26 publications

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“…Dataset is collected from cloud provider's websites and stored in repository. Results are compared with work proposed in [2] refers it as MP for the user request (VCPU=4, Price=30 USD/month, Storage=75GB, Ram=10GB, Availability=99%). Two different set of weights are used for the same user request attributes EMP1 = (3, 5, 2, 4, 1), EMP2 = (3, 1, 4, 2, 5) respectively.…”

Section: Resultsmentioning

confidence: 99%

“…This work is an extension for work presented in [2]. We enhanced the user interface to accept the user requests as a flat-text or voice commands based on NLU technologies.…”

Section: Architecturementioning

confidence: 99%

“…As an enhancement for the work proposed in [2], we improved the matching algorithm by adding different weights for each cloud service attribute in user request. This improvement helps cloud consumers to find the appropriate cloud services by focusing on specific attributes more than others.…”

Section: F Enhanced Matching Algorithmmentioning

confidence: 99%

“…Using general search engines like Google increases the time and effort of finding the cloud services. In this paper, we present an enhanced architecture for cloud services marketplace based on the work proposed on [2]. Enhanced architecture allows users to enter the cloud service requests as a voice commands or as plain texts.…”

Section: Introductionmentioning

confidence: 99%

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Smart Cloud Services Marketplace based on NLU Technologies

Hasan¹

2017

IJRASET

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Cloud computing makes our life easy by delivering computing resources as utility like telephony, water and gas. In cloud computing users should pay only for what they consumed. Nowadays, cloud service providers deliver a huge number of cloud services with almost the same features which makes the cloud services discovery and selection process as a big challenge for the end consumers. Using existing search engines results in a lot of unrelated outcome which increases the cloud service discovery and selection process time and effort. In this paper, we present an enhanced cloud services marketplace framework to facility the cloud services trading between providers and consumers and to make could services more visible for all consumers. Proposed framework receives users' requests as a voice commands or flat-text then translates them based on Natural Language Understanding technologies. In additional, we enhanced the matching algorithm by adding different weights for attributes based on consumer preferences. Experiments showed an enhancement in the overall user experience and better matching for user request. Keywords: Cloud computing, cloud services, service matching, cloud marketplace, cloud architecture. I. INTRODUCTIONCloud computing [1] is a paradigm that enables access to a shared computing resources where consumer should pay only for what he consumed. There are three different levels of cloud services. Infrastructure as a Service (IaaS) where users hire an infrastructure resources from another party , Platform as a Services (PaaS) where users develop applications on a haired platform and Software as a Service where users use an applications developed and operated by another party based on pay as you use model. Nowadays, there are big number of cloud service providers who provide a huge number of similar cloud services which makes the process of finding and selecting the appropriate cloud service a tedious task for the users. Using general search engines like Google increases the time and effort of finding the cloud services. In this paper, we present an enhanced architecture for cloud services marketplace based on the work proposed on [2]. Enhanced architecture allows users to enter the cloud service requests as a voice commands or as plain texts. In addition, enhanced architecture improved the matching algorithm by applying different weights for user requested attributes based on user preferences. . Experiments showed an enhancement in the overall user experience and better matching for user requests. The rest of this paper is organised as following: section 2 surveys the related work, section 3 presents the enhancement architecture, section four displays the results of the experiments and section 5 is a conclusion and future work.

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Section: Resultsmentioning

confidence: 99%

“…This work is an extension for work presented in [2]. We enhanced the user interface to accept the user requests as a flat-text or voice commands based on NLU technologies.…”

Section: Architecturementioning

confidence: 99%

Section: F Enhanced Matching Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Smart Cloud Services Marketplace based on NLU Technologies

Hasan¹

2017

IJRASET

Self Cite

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“…The cloud ontology invested and discovered by the cloud service to help the cloud users to search for their appropriate services because of generic web browsers such as Google and Yahoo may provide irrelevant web-pages [20]. Soon, the solution could be found to matches needs by designing a semantically based web browser for all organizations deals with cloud computing that receives our request and retrieve the exact need without providing all websites that contain the entered need keywords [21].…”

Section: Introductionmentioning

confidence: 99%

Unified Ontology Implementation of Cloud Computing for Distributed Systems

Ageed

Ibrahim

Sadeeq

2020

CJAST

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The ability to provide massive data storage, applications, platforms plus many other services leads to make the number of clouds services providers been increased. Providing different types of services and resources by various providers implies to get a high level of complexity. This complexity leads to face many challenges related to security, reliability, discovery, service selection, and interoperability. In this review, we focus on the use of many technologies and methods for utilizing the semantic web and ontology in cloud computing and distributed system as a solution for these challenges. Cloud computing does not have an own search engine to satisfy the needs of the providers of the cloud service. Using ontology enhances the cloud computing self-motivated via an intelligent framework of SaaS and consolidating the security by providing resources access control. The use RDF and OWL semantic technologies in the modeling of a multi-agent system are very effective in increases coordination the interoperability. One of the most efficient proposed frameworks is building cloud computing marketplace that collects the consumer's requirements of cloud services provider and managing these needs and resources to provide quick and reliable services.

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Composition modeling for manufacturing resource cloud service

Zhang

et al. 2019

SOCA

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Generic-distributed framework for cloud services marketplace based on unified ontology

Abstract: Graphical abstract

Cited by 11 publications

References 26 publications

Smart Cloud Services Marketplace based on NLU Technologies

Smart Cloud Services Marketplace based on NLU Technologies

Unified Ontology Implementation of Cloud Computing for Distributed Systems

Composition modeling for manufacturing resource cloud service

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