TY - JOUR N2 - In the Infrastructure as a Service (IaaS) industry, the decision-making to choose the prioritized trust improvement actions is significant as to ensure the trustworthiness and service continuity of the IaaS cloud providers. This is done by checking the trust control elements (TCEs) of IaaS cloud regularly so as to put together an efficient and effective improvement plan. However, it is very difficult to put such improvement plan unless it is based on the results of a preparatory evaluation. This paper, present rigorous and reliable evaluation framework based evaluation theory called trust evaluation of IaaS cloud framework. The main goal of this evaluation framework is to help IaaS cloud providers to identify the unimproved gaps according to particular TCEs. Diagrammatic trust tree and hybrid evaluation and ranking technique combining fuzzy set, simple additive weight, and important performance analysis (IPA) are the main components of this novel framework. The proposed framework is applied to evaluate the IaaS cloud of two providers. The results show that each provider has several different unimproved gaps that need urgent improvement actions. Moreover, based on the analysis results of IPA, several recommendations have been suggested to fill these gaps. © 2015, Springer Science+Business Media New York. Y1 - 2016/// ID - scholars7168 VL - 19 KW - Cloud computing; Computation theory; Decision making; Trusted computing KW - Evaluation framework; Evaluation theory; Improvement plans; Performance analysis; Ranking technique; Service continuity; Trust; Trust evaluation KW - Infrastructure as a service (IaaS) AV - none UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944629043&doi=10.1007%2fs10586-015-0493-1&partnerID=40&md5=4c12b94730b23af9a03687d41619cf85 SP - 389 PB - Springer New York LLC A1 - Alabool, H.M. A1 - Mahmood, A.K.B. SN - 13867857 IS - 1 N1 - cited By 11 TI - A novel evaluation framework for improving trust level of Infrastructure as a Service JF - Cluster Computing EP - 410 ER -