Evaluating consumer trust using topsis and vikor methods in cloud analyst tool

Cloud Computing is most interesting research area and find new enhancements in the trust of consumer on the cloud data. At show, there is no trust assessment framework that enables CCs to assess the dependability of CSPs based on their adherence to the SLA i.e., Cloud computing has been joined in relatively every overlap of client's present reality. As all the more difficult turns into the universe of an asset buyer, so does the plenty of various cloud merchants. Each merchant attempts to auction their administrations with various attractions. Some of them are free, some as pay-as-you-go administrations and some at contract structures. With such a significant number of decisions accessible to an irregular client, settling on the correct decision about the sort of seller is a pivotal choice. We exhibit in this paper novel techniques for cloud benefit determination. The strategy gets from the conventional choice strategies with accentuation on client criteria weights. In born correlations have been directed among the different techniques to help in dissecting and finishing specialist design for choice of the best specialist organization among the battling cloud merchants.