Storage Cost Minimizing in Cloud - A Proposed Novel Approach Based on Multiple Key Cryptography

被引:0
作者
Saha, Tushar Kanti [1 ]
Ali, A. B. M. Shawkat [2 ]
机构
[1] Jatiya Kabi Kazi Nazrul Islam Univ, Dept Comp Sci & Engn, Mymensingh, Bangladesh
[2] Univ Fiji, Dept Comp Sci & Informat Technol, Suva, Fiji
来源
2014 ASIA-PACIFIC WORLD CONGRESS ON COMPUTER SCIENCE AND ENGINEERING (APWC ON CSE) | 2014年
关键词
cost minimizing; cryptography; cloud; multiple key; storage; security; ENERGY; STRATEGY;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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%.
引用
收藏
页数:9
相关论文
共 52 条
[1]  
Almorsy M., 2012, 2012 IEEE 5th International Conference on Cloud Computing (CLOUD), P981, DOI 10.1109/CLOUD.2012.146
[2]   A cost-effective cloud computing framework for accelerating multimedia communication simulations [J].
Angeli, Daniele ;
Masala, Enrico .
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2012, 72 (10) :1373-1385
[3]  
[Anonymous], ARXIV13066410
[4]  
[Anonymous], GLOB TEL C
[5]  
[Anonymous], 2010, CARBON
[6]  
[Anonymous], ADV PARALLEL COMPUTI
[7]   Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport [J].
Baliga, Jayant ;
Ayre, Robert W. A. ;
Hinton, Kerry ;
Tucker, Rodney S. .
PROCEEDINGS OF THE IEEE, 2011, 99 (01) :149-167
[8]  
Calder B, 2011, SOSP 11: PROCEEDINGS OF THE TWENTY-THIRD ACM SYMPOSIUM ON OPERATING SYSTEMS PRINCIPLES, P143
[9]   Harmony: Towards Automated Self-Adaptive Consistency in Cloud Storage [J].
Chihoub, Houssem-Eddine ;
Ibrahim, Shadi ;
Antoniu, Gabriel ;
Perez, Maria S. .
2012 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER), 2012, :293-301
[10]  
Dornemann Tim, 2010, 2010 IEEE 3rd International Conference on Cloud Computing (CLOUD 2010), P196, DOI 10.1109/CLOUD.2010.40