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.

Ramkumar T

Department of Computer Applications

School of Information Technology and Engineering

Vellore Campus

Nagarajan R

Selvamuthukumaran S

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

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

2017 International Conference on Computer Communication and Informatics (ICCCI)

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

In a typical cloud environment, the task of identification and selection of required services solely depend upon the service specification furnished by the cloud user. The experienced users can specify their service requirements in precise terms by using numerical representations. On the other end, the task of service specification is always a challenging one for an inexperienced cloud user who seems to be new to the environment. In such a kind of requirement, vagueness arises in the preliminary phase of cloud service life cycle results service mismatches and affects both the cloud providers and user significantly. Hence, identifying and offering suitable services in responses to the imprecise service requirement have been emerged as an important research issue. In this paper, we have proposed a fuzzy logic-based intelligent cloud broker that clears the imprecise state of the inexperienced cloud user while furnishing the infrastructure service requirements. The proposed broker acts as an intermediate layer between the provider and consumer that finds out the appropriate services through the fuzzification and de-fuzzification process. In addition, the broker performs service aggregation through Sugeno integral and makes decision about the right services by implementing the fuzzy decision tree. The effectiveness of the broker has been validated by using MATLAB and R Studio. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

Soft Computing

A fuzzy-based decision-making broker for effective identification and selection of cloud infrastructure services

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.

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

A Review on Intelligent Cloud Broker for Effective Service Provisioning in Cloud

International Journal of Fuzzy Systems

Evidence-Based Trust Evaluation System for Cloud Services Using Fuzzy Logic

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.

Fulltext

Journal of Computing and Information Technology

A Review on Broker Based Cloud Service Model

Computers & Electrical Engineering

Evaluating the credibility of cloud services

Journal of Systems and Software

A fuzzy-based credibility model to assess Web services trust under uncertainty

Computers in Human Behavior

A new method for trust and reputation evaluation in the cloud environments using the recommendations of opinion leaders' entities and removing the effect of troll entities

Journal	Data powered by Typeset2017 International Conference on Computer Communication and Informatics (ICCCI)
Publisher	Data powered by TypesetIEEE
Open Access	0