DocumentCode :
652294
Title :
Quantitative Risk Analysis for Mobile Cloud Computing: A Preliminary Approach and a Health Application Case Study
Author :
Samad, Javeria ; Loke, Seng W. ; Reed, Kyle
Author_Institution :
Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Melbourne, VIC, Australia
fYear :
2013
fDate :
16-18 July 2013
Firstpage :
1378
Lastpage :
1385
Abstract :
Mobile cloud computing is presented as the next logical step in the adoption of cloud based systems. However, there are number of issues inherent in it that may limit its uptake. These issues are best understood as "risks" which span the whole structure and the life cycle of mobile clouds and could be as varied as security, operations, performance, and end-users behaviours. This paper is a first step in developing a quantitative risk model suitable for a dynamic mobile cloud environment. We also use this model to analyse a mobile cloud based health application and report our findings, which have implications for cloud computing as a whole.
Keywords :
cloud computing; health care; mobile computing; dynamic mobile cloud; life cycle; mobile cloud based health application; mobile cloud computing; quantitative risk analysis; Bandwidth; Cloud computing; Context; Context modeling; Mobile communication; Probability; Risk management; context aware; mobile cloud computing; quantitative risk analysis; risk model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Trust, Security and Privacy in Computing and Communications (TrustCom), 2013 12th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/TrustCom.2013.166
Filename :
6680989
Link To Document :
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