Research And Implementation Of Cloud Service Selection Based On Fuzzy Entropy Method

Large-scale development of cloud computing and widespread popularity, more and more users feel convenient. Before the user access to cloud services, How to choose a cloud service is the first facing problem. Aiming at some problems existing in cloud service selection, and put forward fuzzy entropy method combining objective and subjective analysis to help users more accurately in cloud services selecting.This method has the following aspects of innovation:1. Proposed an analysis of ideas that considering both subjective and objective factors. In cloud service selection process, combine the subjective factors reflecting the needs of users and the objective factors that reflect the providers' supply ability, overcome the unilateral consideration of subjective or objective factors.2. Close to the value of the proposed method calculation scheme with the improved relative entropy sorting method. Improve the calculation of the approximation of overall scheme to the respectively calculation of each parameter in the scheme. Positive and negative ideal solution to solve the symmetrical scheme cannot sort the problem, and make close to the values of calculation is more accurate.3. Design the subjective and objective combined membership functions to construct the fuzzy entropy model. Membership function is not only the measurement of data's membership degree, reflect the characteristics of subjective and objective factors, but also provide subsequent solutions with a basis for the sorting, ultimately provide users with a reasonable service plan.Based on analysis of experimental results, this paper proved that the fuzzy entropy method combining objective and subjective analysis can select rational cloud services for cloud users.