Certain investigations on cloud trust computing strategies using fuzzy logic

Abstract

One of the efficient economic innovative and fast growing technology in the recent era is cloud computing Even though it has its own advantages still the major challenge is trust as the data of the customer is in remote site in the providers location The trust is a virtual entity which is built based on various factors from the providers side such as repetition service availability reliability and performance The idea of the work is to provide the measure of trust in the form of various QoS attributes to the cloud user and also to suggest the good strategy for the service provider The user requests are bundled in 5 groups and five service providers with various resources are considered for two different approaches The first approach is based on the server broker policies with 3 different scenarios and the second approach is based on location that is where and how user bases and CSPs organized with 4 different scenarios The first approach for computation of trust and their ranking is based on broker server policy which decides how the user processes are distributed among data centers In the first approach the first scenario is Closest Data Centre first Depending on the network latency the shortest path is selected to the data center from the user base and based on that the service broker routes the data traffic to the closest data center with the consideration of transmission latency Under this scenario the highest individual trust score is 0 7072 from CSP4 and the lowest individual trust score is 0 1395 from CSP1 The average trust score is 0 3826 newline