DocumentCode :
566725
Title :
Multi-tenant behavior measurement based on multi-variable generalized predictive control
Author :
Peng, Liang ; Jiang, Wei ; Bei, Gong ; Yang, Ruibo
Author_Institution :
Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing, China
Volume :
1
fYear :
2012
fDate :
26-28 June 2012
Firstpage :
24
Lastpage :
27
Abstract :
With the development of could computing, the whole information industry undergoes a fundamental change and there is no exception for networks. Due to the multi-tenancy and scalability, the traditional network involves quickly towards cloud networks in which resource sharing is a significant feature. The precise definition of entity behavior and how to measure the truth of entities´ behaviors in the cloud networking are not also lacked. In this paper, aiming at the current situation of Trusted Network and cloud networking which lacks system behavior measurement, a new behavior measurement model incorporating sharing feature of cloud computing based on prediction and control is presented.
Keywords :
cloud computing; predictive control; security of data; cloud computing; cloud networking; entity behavior; information industry; multitenancy; multitenant behavior measurement model; multivariable generalized predictive control; resource sharing; system behavior measurement; trusted network; Computational modeling; Predictive models; Vectors; behavioral predictive control; cloud computing; trust measurement; trusted cloud networking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Digital Content Technology (ICIDT), 2012 8th International Conference on
Conference_Location :
Jeju
Print_ISBN :
978-1-4673-1288-2
Type :
conf
Filename :
6269220
Link To Document :
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