DocumentCode :
265908
Title :
A quantitative analysis of cloud users´ satisfaction and data security in cloud models
Author :
Ali Zardari, Munwar ; Low Tang Jung ; Zakaria, Nordin
Author_Institution :
CIS Dept., Univ. Teknol. PETRONAS, Tronoh, Malaysia
fYear :
2014
fDate :
27-29 Aug. 2014
Firstpage :
42
Lastpage :
47
Abstract :
The advancement in cloud infrastructure and services is speeding up the rate for organizations to sell their services on a user demand basis. The migration of enterprises to cloud has the same trend as grid and utility computing. However, the cloud infrastructure provides more robust virtualized services despite some security issues such as virtualization vulnerability. Therefore all public clouds are incorporating virtualization technology in their services. There are many cloud service providers available in the market. The new users may suffer from ambiguity as to which cloud will best fit their business needs. We conducted a quantitative survey with the aim to help new users in selecting the best cloud to fit their needs especially for the required services and security. This survey is based on cloud user Small and Medium Enterprises (SMEs) feedback on their existing hired clouds. The users disclosed the pros and cons of their clouds. Aim of this study is to provide information about market oriented cloud to new users which are willing to get cloud services for their SMEs.
Keywords :
cloud computing; security of data; small-to-medium enterprises; SME; cloud models; cloud services; cloud user satisfaction; data security; market oriented cloud; quantitative analysis; small and medium enterprises; Availability; Cloud computing; Computational modeling; Data security; Google; Organizations; Cloud Security; Cloud Services; Cloud computing; Quantitative survey; SMEs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Science and Information Conference (SAI), 2014
Conference_Location :
London
Print_ISBN :
978-0-9893-1933-1
Type :
conf
DOI :
10.1109/SAI.2014.6918170
Filename :
6918170
Link To Document :
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