Abstract
A cloud based data storage technique is going to be proposed in this research. Cloud based multiple data storage technique exhibits multiple data storage within a particular memory location using indexing. Proposed cloud based technique involves searching and storing data with less time consumption. Data analyzer, data transmission, and data acquisition in cloud have been introduced in this paper. Dynamic memory space allocation in cloud has been demonstrated. The paper introduces data searching and indexing techniques. Time and space analysis are represented graphically in this paper. Hit ratio in real-time scenario has been demonstrated in our work. Proposed cloud based multiple data Storage technique reduces memory access time. Comparisons have been shown for time difference realization.
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References
Silberschatz, A., Galvin, P. B., Gagne, G.: Operating System Concepts.Wiley-India Edition, ISBN 978-81-265-2051-0 (2011).
Rumble, M. S., Kejriwal, A., Ousterhout, J.: Log-structured Memory for DRAM-based Storage. Stanford, ISBN 978-1-931971-08-9 (2014).
Guttman, A.: R-trees:a dynamic index structure for spatial searching. SIGMOD ’84 Procedings of the 1984 ACM SIGMOD international conference on Management of data. Pages 47–57 (1984).
Ramasubramanian, N., Srinivas, V. V., Gounden, N. A.: Performance of cache memory subsystems for multicore architecture. International Journal of Computer Science, Engineering and Applications(IJCSEA), Vol.1, No.5 (2011).
Mano, M. M.:“Computer System Architecture,” Pearson Edition, ISBN 978-81-317-0070-9 (2009).
Nazir, M. :Cloud Computing: Overview & Current Research Challenges. IOSR Journal of Computer Engineering (IOSR-JCE), ISSN: 2278-0661, ISBN: 2278-8727, vol. 8, no. 1, pp. 14–22 (2014).
Buyya, R.: Introduction to the IEEE Transactions on Cloud Computing. IEEE Transactions on Cloud Computing, vol. 1, no. 1, pp. 3–21 (2013).
Forouzan, A. B.: Data communication and networking. McGraw-Hill, ISBN-13:978-1-25-906475-3 (2013).
Reddy, V. K., ThirumalRao, B., Reddy, L. S. S., SaiKiran, P.: Research Issues in Cloud Computing. Global Journal of Computer Science and Technology, vol. 11, no. 11 (2011).
Chan W. K., Mei, L., Zhang, Z. : Modeling and testing of cloud application. IEEE Asia-Pacific Services Computing Conference. Singapore, December 7–11, pp. 111–118 (2009).
Gonzalez, N., Miers, C., Redigolo, F., Simplıcio, M., Carvalho, T., Naslund, M., Pourzand, M.: A quantitative analysis of current security concerns and solutions for cloud computing. Journal of cloud computing.Springer Open Journal (2012).
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Sarkar, S., Kundu, A. (2016). An Indexed Approach for Multiple Data Storage in Cloud. In: Satapathy, S., Mandal, J., Udgata, S., Bhateja, V. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 433. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2755-7_66
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DOI: https://doi.org/10.1007/978-81-322-2755-7_66
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