Efficient Technique to Optimize Cloud Storage in Multi-Tenant Environment
Main Article Content
Abstract
With the advent of cloud computing technologies, a paradigm of migrating on-premise cloud storage management to multitenant cloud storage management is been an active challenge for the researchers. Storage management in cloud environment aims to enhance performance of the data center by efficiently optimizing the underlying storage resources. The vital concept behind the centralized multitenant storage management is defining an integrated platform for data analytics, collection and governance which in turn increases the efficiency and effectiveness of the multitenant storage environments. This paper introduces an optimized multitenant cloud storage framework that incorporates the storage data analytics that suggest the service recommendation for the storage administrator. In addition, secured cloud storage architecture is presented to assure the security of the data stored in the multitenant cloud storage system.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
IJCERT Policy:
The published work presented in this paper is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means that the content of this paper can be shared, copied, and redistributed in any medium or format, as long as the original author is properly attributed. Additionally, any derivative works based on this paper must also be licensed under the same terms. This licensing agreement allows for broad dissemination and use of the work while maintaining the author's rights and recognition.
By submitting this paper to IJCERT, the author(s) agree to these licensing terms and confirm that the work is original and does not infringe on any third-party copyright or intellectual property rights.
References
“Amazon Encryption Service,” http://docs.aws.amazon.com/amazonS3/latest/dev/serv side-encryption.html.
“Google Cloud Storage,” http://googlecloudplatform.blogspot.co.uk/ 2013/08/google-cloud-storage-now-provides.html.
“ESCUDO-CLOUD,” http://www.escudocloud.eu/index.php.
S. D. C. D. Vimercati, S. Foresti, S. Jajodia, S. Paraboschi, and P. Samarati, “Encryption policies for regulating access to outsourced data,” ACM Trans. Database Syst., vol. 35, no. 2, May 2010.
S. Yu, C. Wang, K. Ren, and W. Lou, “Achieving Secure, Scalable, and Fine-grained Data Access Control in Cloud Computing,” in Proceedings of the IEEE INFOCOM, March 2010.
V. K. Yarlagadda and S. Ramanujam, “Data Security in Cloud Computing,” Journal of Computer and Mathematical Sciences, no. 1, pp. 15–23, 2011.
L. Kang and X. Zhang, “Identity-Based Authentication in Cloud Storage Sharing,” in Proceedings of the International Conference on Multimedia Information Networking and Security (MINES), November 2010. [8] G. Zhao, C. Rong, J. Li, F. Zhang, and Y. Tang, “Trusted Data Sharing over Untrusted Cloud Storage Providers,” in Proceedings of the 2nd International Conference on Cloud Computing Technology and Science (CloudCom), November 2010.
Z. Huang, Q. Li, D. Zheng, K. Chen, and X. Li, “YI Cloud: Improving user privacy with secret key recovery in cloud storage,” in Proceedings of the 6th International Symposium on Service Oriented System Engineering (SOSE), December 2011.
Q. Wang, C. Wang, K. Ren, W. Lou, and J. Li, “Enabling public auditability and data dynamics for storage security in cloud computing,” IEEE Transactions on Parallel and Distributed System, 2011.
S. A. Almulla and C. Y. Yeun, “New secure storage architecture for cloud computing,” in Proceedings of the International Conference on Future Information Technology (FutureTech), 2011.
S. De Capitani di Vimercati, S. Foresti, S. Jajodia, S. Paraboschi, and P. Samarati, “Integrity for join queries in the cloud,” Cloud Computing, IEEE Transactions on, vol. 1, no. 2, July 2013.