DocumentCode
3030045
Title
A joint trust and risk model for MSaaS mashups
Author
Cayirci, Erdal
Author_Institution
Electr. Eng. & Comput. Sci. Dept., Univ. of Stavanger, Stavanger, Norway
fYear
2013
fDate
8-11 Dec. 2013
Firstpage
1347
Lastpage
1358
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), 2013 Winter
Conference_Location
Washington, DC
Print_ISBN
978-1-4799-2077-8
Type
conf
DOI
10.1109/WSC.2013.6721521
Filename
6721521
Link To Document