A Trustworthiness Evaluation Framework in Cloud Computing for Service Selection

Abstract

Cloud computing provides many benefits for individuals and enterprises by offering a range of computing services. The service dynamism, elasticity, economy and choices are too attractive to ignore. At the meantime, cloud computing has opened up a new frontier of challenges by introducing trust scenario. The Trustworthiness Evaluation of cloud Services is a paramount concern. In this paper, we present a framework to quantitatively measure and rank the trustworthiness of cloud services. In particular, we address the fundamental understanding of trustworthiness, quantitative trustworthiness metrics, unified scale of trust factors, trust factors categorization, trust coordinate and multi-criteria analysis for trustworthiness decision making. Our comprehensive framework of trustworthiness evaluation contains five basic building blocks. The preprocessing block query and calculate the existent trustworthiness record. Then the trust factors are collected, if there was no match record found. The trust factor management block categorize the trust factors and convert them by using unified scale. The trust factor processing block is for weighting and positioning of trust factors. The trustworthiness decision making block provide calculation of cloud service trustworthiness, and the results are recorded in our trustworthiness record block. The proposed trustworthiness measurement framework is employed in several experiments by using existing trust dataset. The analysis based on the experiment result indicates our trustworthiness evaluation is accurate and flexible.