Cloudle : An Agent-based Cloud Search Engine that Consults a Cloud Ontology

Kang, Jaeyong; Sim, Kwang Mong

doi:10.5176/978-981-08-5837-7_224

Cited by 29 publications

(29 citation statements)

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“…Kang and Sim [9]- [11] proposed their work to discover the services based on ontology. The ontology for the discovery of services [12] is constructed using the reasoning based techniques which are a part of artificial intelligence.…”

Section: Service Discovery In Cloud Environmentmentioning

confidence: 99%

A Review on Broker Based Cloud Service Model

Nagarajan¹,

Ramkumar²

2016

CIT. J. comput. inf. technol.

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Cloud computing emerged as a utility oriented computing that facilitates resource sharing under pay-asyou-go model. Nowadays, cloud offerings are not limited to range of services and anything can be shared as a service through the Internet. In this work, a detailed literature survey with respect to cloud service discovery and composition has been accounted. A proposed architecture with the inclusion of cloud broker is presented in our work. It focuses the importance of suitable service selection and its ranking towards fulfilling the customer's service requirements. The proposed cloud broker advocates techniques such as reasoning and decision making capabilities for the improved cloud service selection and composition.

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Section: Service Discovery In Cloud Environmentmentioning

confidence: 99%

A Review on Broker Based Cloud Service Model

Nagarajan¹,

Ramkumar²

2016

CIT. J. comput. inf. technol.

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“…The Old Cloud ontology (CO1) in [3] consists of only concepts. The concepts are connected to other concepts having super-sub relations.…”

Section: B Old Cloud Ontology (Co1)mentioning

confidence: 99%

“…In this paper, we propose Cloud ontology to semantically define the relationship among Cloud services. Whereas the initial work of designing Cloud ontology is done and introduced in [3], we introduced in [4], [5] an enhanced and new Cloud ontology which provides more precise similarity reasoning method. A new Cloud ontology contains a set of Cloud concepts, individuals of those concepts, and the relationship among those individuals.…”

Section: Introductionmentioning

confidence: 99%

Ontology and search engine for cloud computing system

Kang

Sim

2011

Proceedings 2011 International Conference on System Science and Engineering

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Cloud computing is becoming a well-known buzzword nowadays. Many companies, such as Amazon, Google, Microsoft and so on, accelerate their paces in developing Cloud computing systems and enhancing their services to cater for a wide variety of users. However, there is no study that focuses on search engine for Cloud computing system. Hence, this paper presents search engine for Cloud computing system (Cloudle). To semantically define the relationship among Cloud services, Cloud ontologies (CO-1 and CO-2) are designed. CO-2 contains a set of Cloud concepts, individuals of those concepts, and the relationship among those individuals while CO-1 contains only concepts. It is used for determining the similarity among Cloud services with three kinds of reasoning methods (1) concept similarity reasoning, (2) object property similarity reasoning, and (3) datatype property similarity reasoning. The architecture of Cloudle is also briefly presented. Finally, empirical results show that the result of using Cloudle with CO-2 has significantly better performance in finding the appropriate Cloud service than the result using Cloudle with CO-1, the result without the Cloud ontology, and the result without Cloudle.

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“…Kang and Sim [23] developed an agent based cloud service discovery protocol based on cloud ontology. They have improved their old work [8][9]24] with respect to the agent's part and their moto was based on various kinds of reasoning process. In addition to that, the authors have used multiple broker agents to deal the problem of scalability.…”

Section: Related Workmentioning

confidence: 99%

A Cloud Broker Framework for Infrastructure Service Discovery Using Semantic Network

Nagarajan¹,

Ramkumar²,

Shanmugam³

2018

IJIES

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Abstract:On demand provisioning with an acceptable pricing scheme of cloud computing attracts user to enter in to the cloud arena. In this paradigm, there are many cloud service providers involved to offer different level of services and the effectiveness of the service specification, identification of services is always a challenging one. Hence, we propose a broker based cloud computing framework for enabling the cloud user to specify their service requirements in terms of numerical representation. The infrastructure type of services such as computing and storage are considered for this proposal. With respect to the user specification, the proposed broker constructs the cloud ontology to represent the available services from the service repository. With the aid of ontological representation, the proposed broker discovers the infrastructure services from the available vendor. The appropriate services are represented using semantic network which enables the user to know about the available services as per their posted requirements. Finally, the broker recommends the services with its add-on features to the cloud users. A prototype model is developed to simulate the functioning of the broker based service discovery in the cloud and the results show the performance upgradation by comparing the traditional approach.

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Cloudle : An Agent-based Cloud Search Engine that Consults a Cloud Ontology

Cited by 29 publications

References 0 publications

A Review on Broker Based Cloud Service Model

A Review on Broker Based Cloud Service Model

Ontology and search engine for cloud computing system

A Cloud Broker Framework for Infrastructure Service Discovery Using Semantic Network

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