Priority Based Prediction Mechanism for Ranking Providers in Federated Cloud Architecture

Abstract

ABSTRACT In Current trends the Cloud computing has a lot of potential to help hospitals cut costs, a new report says. Here‟s some help overcoming some of the challenges hiding in the cloud. Previously there several methods are available for this like Broker based trust architecture and etc. Health care framework which are patient, doctor, symptom and disease. In this paper we are going to discuss the broker based architecture for federated clou d and its Service Measurement Index considered for evaluating the providers,construction of Grade Distribution Table(GDT),concept of ranking the providers based on prediction weights comparison, optimal service provider selection and results discussion compared with existing techniques available for ranking the providers. In this paper we are going to propose, two different ranking mechanis ms to sort the providers and select the optimal provider automatically. Grade distribution ranking model is proposed by assigning the grade for the providers based on the values of SMI attributes, based on the total grade value, providers falls on either Gold, Silver or Bronze. Each category applies the quick sort to sort the providers and find the provider at the top is optimal. If there is more than one provider at the top, apply priority feedback based decision tree and find the optimal provider for the request. In the second ranking mechanis m, joint probability distribution mechanism is used to rank the providers, two providers having same score, apply priority feedback based decision tree and find the optimal provider for the request.

Authors and Affiliations

G. Vadivel, Dr. M. Aramudhan

Keywords

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  • EP ID EP389885
  • DOI 10.9790/9622-0701048185.
  • Views 160
  • Downloads 0

How To Cite

G. Vadivel, Dr. M. Aramudhan (2017). Priority Based Prediction Mechanism for Ranking Providers in Federated Cloud Architecture. International Journal of engineering Research and Applications, 7(1), 81-85. https://europub.co.uk/articles/-A-389885