Cloud computing offers wide variety of utility oriented services from different service providers. With the advent of cloud, users can avail the required services even without owning the infrastructure. However, the selection of required services from the available service provider is always a challenging task. In this paper, we attempt to introduce an intelligent cloud broker for simplifying the cloud service selection process. Also, the paper presents a comprehensive survey of research work in the phase of cloud service selection. Various research attempts have been discussed elaborately along with their limitations for further exploration. Finally, the paper emphasizes the need for the cloud broker in service selection phase. The novel idea has been strengthened by introducing an intelligent cloud broker for the existing cloud architecture to perform the effective selection and delivery of required services. © 2018 IEEE.

Ramkumar T

Department of Computer Applications

School of Information Technology and Engineering

Vellore Campus

Rajganesh Nagarajan

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS)

Service recommendation is an active research area in cloud computing since mapping of right services as per the desired requirements of user is a challenging task. With the rapid development of cloud services, the recommendation techniques are facing the problem in predicting the better QoS values because of neglecting the contextual information of cloud services. The paper proposes a service context-aware-based cloud broker that extracts the service details by considering the contextual information of cloud services and computes service similarities on the basis of QoS values. Further, it tackles the cold start problem by adopting the matrix factorization principle and predicts better QoS values for newly arrived services. To validate our approach, we have conducted experimental works on benchmark datasets and the result shows that the proposed approach outperforms better results than the model-based approaches. In particular, our proposed system produces improved response time for the dataset of sparse nature. © 2019, King Fahd University of Petroleum &amp; Minerals.

Arabian Journal for Science and Engineering

A Service Context-Aware QoS Prediction and Recommendation of Cloud Infrastructure Services

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. © 2018 Intelligent Network and Systems Society.

International Journal of Intelligent Engineering and Systems

A Cloud Broker Framework for Infrastructure Service Discovery Using Semantic Network

With the rapid development of cloud computing services, it is highly essential to ensure the quality of service offered by the service providers. Though several trust evaluation methods are available based on user feedback, it is hard to reap meaningful trust level of services when large number of cloud users are involved. To tackle the problem, we have advocated a big data processing framework for evaluating the trust level of availed services. An intelligent cloud broker with the incorporation of MapReduce framework has been put forth for the effective preprocessing of cloud users’ feedback. Besides, the broker performs the fuzzy inference system and a decision-making process for evaluating the trust level of services on the basis of processed feedback. Experimental results show that our proposed framework scores better results in terms of both trust level identification and execution efficiency. © 2017, Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany.

International Journal of Fuzzy Systems

A Fuzzy-Based Intelligent Cloud Broker with MapReduce Framework to Evaluate the Trust Level of Cloud Services Using Customer Feedback

Cloud computing enable users to avail the various services as per their wish. However, the quality about the service and its trust detail is not transparent to the user. In this paper, we propose a fuzzy logic based trust evaluation system that accepts the user's feedback in terms of fuzzy linguistic terms. The appropriate weight for the given feedback is calculated with the fuzzy inference system. Also, we have incorporated the fuzzy goal and constraint in our proposed model to predict the trust value with respect to the weight of feedback. The final trust value is derived by intersecting the goals and constraints of that service. A simulation on the MATLAB was performed and the results showed that, the proposed model can efficiently emulate the cloud user's feedback. © 2017 IEEE.

2017 International Conference on Computer Communication and Informatics (ICCCI)

A fuzzy logic based trust evaluation model for the selection of cloud services

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.

Journal	Data powered by Typeset2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS)
Publisher	Data powered by TypesetIEEE
Open Access	0