Title :
A joint trust and risk model for MSaaS mashups
Author_Institution :
Electr. Eng. & Comput. Sci. Dept., Univ. of Stavanger, Stavanger, Norway
Abstract :
Modeling and simulation as a service and its difference from software as a service is explained. The literature on trust and risk for cloud service mash-ups are surveyed. A joint trust and risk model is introduced for MSaaS federations. The model is based on historic data related not only security incidents but also performance records. Negative and positive performances are differentiated and the freshness of the historic data are taken into account in the model. A numerical analysis by using the model through Monte-Carlo simulation is also provided.
Keywords :
Monte Carlo methods; cloud computing; risk analysis; security of data; MSaaS federations; MSaaS mashups; Monte-Carlo simulation; cloud service mash-ups; historic data; risk model; security incidents; software as a service; trust model; Cloud computing; Computational modeling; Numerical models; Quality of service; Security; Software as a service;
Conference_Titel :
Simulation Conference (WSC), 2013 Winter
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-2077-8
DOI :
10.1109/WSC.2013.6721521
