Fuzzy logic based cloud service trustworthiness model

The rapid growth in information science, information technology, and cloud computing play a vital role in the field of organizational management. The emerging and revolutionary benefits of using these techniques increases the use of organizational services. Cloud computing is an emerging field, which is a result of integration of programming methodologies, database technology, communication network and the internet. There are a number of organizations that provides various types of services to the end user to uplift/ improve the information system through cloud services. A cloud service is affordable in all respect as cost, operation, infrastructure (software and hardware) and processing. In this paper we proposed a framework with a set of parameters in order to provide a detailed analysis of cloud services provided by the service providers. Trustworthiness is a factor which greatly affects the selection of a cloud service. The trustworthiness of cloud service is specifically analyzed by considering a set of parameters such as Security, Finance, Maintainability, Reliability, and Usability. The proposed Cloud Service Trustworthiness Model (CSTM) focused on dynamic trustworthiness measurement by considering the trustworthiness value of a cloud service which may be changed with time on the basis of various factors such as user's feedback, changes in technology, adding new end user requirements etc. The model is a Cloud Service Trustworthiness Model (CSTM) framework for assessing the cloud service trustworthiness. CSTM model focuses on the fact that trust requirements of different service requesters may be different. Therefore, different abstraction levels are required for different categories of service requesters. The model is based on finance parameter as a major characteristic for selection of cloud application. The CSTM model improves the quality of service (QoS).