DocumentCode :
3573997
Title :
Storage cost minimizing in cloud — A proposed novel approach based on multiple key cryptography
Author :
Saha, Tushar Kanti ; Ali, A. B. M. Shawkat
Author_Institution :
Dept. of Comput. Sci. & Eng., Jatiya Kabi Kazi Nazrul Islam Univ., Mymensingh, Bangladesh
fYear :
2014
Firstpage :
1
Lastpage :
9
Abstract :
Cloud computing has been able to change the present style of computation all over the internet. This technology has proved itself as a blessing of computational science because of its ability for releasing massive computational and storage load with reducing cost from anywhere to any user and any time. Now the concern is how secured and reliable the service can be provided to its customers with lower cost. Throughout this research we have first reviewed some cloud storage research, cost minimization procedures and data security approaches used in the cloud. Here we propose a novel approach for reducing file storage size based on data to RGB image conversion technique. Then we apply multiple key cryptography (MKC) technique which also provides security to the cloud data. Lastly we have been able to show the cost minimization strategy in the cloud storage using data-to-image-to-data conversion procedure. This in turn helps power consumption in the cloud storage and thus also serves the purpose of green cloud computing. We have evaluated our approach using 10 different types of files within size of 1 MB where average file size reduction rate is 38.82%.
Keywords :
cloud computing; cryptography; green computing; minimisation; power aware computing; power consumption; storage management; Internet; MKC technique; RGB image conversion technique; cloud data security; cloud file storage size reduction; data-to-image-to-data conversion procedure; green cloud computing; multiple key cryptography; power consumption; storage cost minimization; Cloud computing; Computational modeling; Encryption; Minimization; cloud; cost minimizing; cryptography; multiple key; security; storage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Engineering (APWC on CSE), 2014 Asia-Pacific World Congress on
Print_ISBN :
978-1-4799-1955-0
Type :
conf
DOI :
10.1109/APWCCSE.2014.7053856
Filename :
7053856
Link To Document :
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