DocumentCode :
3245288
Title :
Quantification of Security for Compute Intensive Workloads in Clouds
Author :
Arshad, Junaid ; Townend, Paul ; Xu, Jie
Author_Institution :
Sch. of Comput., Univ. of Leeds, Leeds, UK
fYear :
2009
fDate :
8-11 Dec. 2009
Firstpage :
479
Lastpage :
486
Abstract :
Cloud computing is a promising technology to facilitate development of large-scale, on-demand, flexible computing infrastructures. However, improving dependability of cloud computing is critical for realization of its potential. In this paper, we describe our efforts to quantify security for Clouds to facilitate provision of assurance for quality of service, one of the factors contributing to dependability. This has profound implications for delivering customized security solutions such as effective intrusion prevention and detection which is the overall objective of our research. In order to demonstrate the applicability of our research, we have incorporated these requirements in the resource acquisition phase for Clouds. We also present experiments to demonstrate the effectiveness of our approach to address the random migration problem for virtualized computing environments.
Keywords :
Internet; quality of service; security of data; cloud computing; cloud security; intrusion detection; intrusion prevention; quality of service; random migration problem; resource acquisition phase; virtualized computing environments; Cloud computing; Concurrent computing; Distributed computing; Grid computing; High performance computing; Large-scale systems; Memory; Quality of service; Security; Virtual machining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Systems (ICPADS), 2009 15th International Conference on
Conference_Location :
Shenzhen
ISSN :
1521-9097
Print_ISBN :
978-1-4244-5788-5
Type :
conf
DOI :
10.1109/ICPADS.2009.46
Filename :
5395324
Link To Document :
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