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