High Performance Cloud Computing in Big Data

Authors(2) :-Bharathidasan K, UdhayaKumar U

Cloud computing is the product of the traditional computer technology and network technology development integration. Such as grid computing, distributed computing, parallel computing, utility computing, network storage, virtualization, and load balancing. To perform integrating multiple relative low-cost computing entities into one perfect system with powerful computing ability via the network and with the help of the SaaS, PaaS, IaaS, MSP and other advanced business models distributing this powerful computing ability to the hands of the end user. Cloud computing system mainly uses MapReduce model. The core design idea of MapReduce is to divide and conquer the problem and calculate on data rather than push data to calculate which effectively avoids many communication costs generated during data transmission.

Authors and Affiliations

Bharathidasan K
Department of Computer Science, Shanmuga Industries Arts and Science College, Tiruvannamalai, Tamilnadu, India
UdhayaKumar U
Assistant Professor, Department of Computer Science, Shanmuga Industries Arts and Science College, Tiruvannamalai, Tamilnadu, India

Big Data, Cloud computing, High-performance, HPC.

  1. Big Data: The next frontier for innovation, competition and productivity. James Maniyka, Executive summary ,McKinsey Global Institute ,May 2011, http://www.mckinsey.com/mgi/publication/big.data/MGI _big_data_exec_summary.pdf>.
  2. http://www.emc.com/collateral/analyst-reports/idc-extracting-value-from-chaos-ar.pdf [Accessed on 2nd January 2015]
  3. Beyond the hype: Big data concepts, methods, and analytics, Amir Gandomi , MurtazaHaide, International Journal of Information Management 35 (2015) 137–144
  4. https://analyticsacademy.withgoogle.com/course01/asses/pdf/DigitalAnalyticsFundamentals-Lesson2.1TheimportanceofdigitalanalyticsText.pdf [Acesses on 27th December 2014]
  5. Big Data Meets High Performance Computing Intel® Enterprise Edition for Lustre* software and Hadoop combine to bring big data analytics to high performance computing configurations.http://www.intel.com/content/dam/www/public/us/en/do cuments/white-papers/big-data-meets-high-performance-computing-white-paper.pdf
  6. Agrawal, D., Das, S., El Abbadi, A.: Big data and cloud computing: current state and futureopportunities. In: Proceedings of the 14th International Conference on Extending Database Technology (EDBT/ICDT’11), pp. 530–533 (2011)Amazon Web Services, Inc.: Elastic Compute Cloud (EC2). http://aws.amazon.com/ec2 (2015). Accessed 18 Oct 2015
  7. Assunção, M.D., Calheiros, R.N., Bianchi, S., Netto, M.A.S., Buyya, R.: Big data computing and clouds: trends and future directions. J. Parallel Distrib. Comput. 79–80, 3–15 (2015)
  8. Batalla, J.M., Kantor, M., Mavromoustakis, C.X., Skourletopoulos, G., Mastorakis, G.: A novel methodology for efficient throughput evaluation in virtualized routers. In: Proceedings of the IEEE International Conference on Communications (ICC 2015)—Communications Software, Services andMultimedia Applications Symposium (CSSMA), London, UK, pp. 6899–6905 (2015)
  9. Zheng, Z., Zhu, J., Lyu, M.R.: Service- generated big data and big data-as-a-service: an overview. Proceedings of the 2013 IEEE International Congress on Big Data (BigData Congress), pp. 403–410. Santa Clara, California (2013)
  10.  Zhang, Linquan, et al. "Moving Big Data to The Cloud: An Online Cost Minimizing Approach." IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 31.12 (2013): 1.http://i.cs.hku.hk/~fcmlau/papers/info13-lq-m.pdf
  11. Hashem, I.A.T., Yaqoob, I., Anuar, N.B., Mokhtar, S., Gani, A., Khan, S.U.: The rise of “big data” on cloud computing: review and open research issues. Inf. Syst. 47, 98–115 (2015)
  12. IBM Corporation: IBM big data & analytics hub: the four V’s of big data. http://www.ibmbigdatahub.com/infographic/four-vs-big-data (2014). Accessed 18 Oct 2015
  13. IBM Corporation: IBM social media analytics software as a service. http://www-03.ibm.com/software/products/en/social-media-analytics-saas (2015a). Accessed 18 October 2015.
  14. D. Ranjith, J. M. Balajee and C. Kumar,” Trust computation methods in mobile ADHOC network using glomosim: A Review” International Journal of Scientific Research and Modern Education, Vol. I, Issue I, pp. 777-780, Nov.2016.
  15. Janarthanan Y, Balajee J.M, and SrinivasaRaghava S. "Content based video retrieval and analysis using image processing: A review."International Journal of Pharmacy and Technology 8, no.4 (2016): 5042-5048.
  16. Jeyakumar, Balajee, MA SaleemDurai, and Daphne Lopez. "Case Studies in Amalgamation of Deep Learning and Big Data." In HCI Challenges and Privacy Preservation in Big Data Security, pp. 159- 174. IGI Global, 2018.
  17. Kamalakannan, S. "G., Balajee, J., Srinivasa Raghavan.,“Superior content-based video retrieval system according to query image”." International Journal of Applied Engineering Research 10, no. 3 (2015): 7951-7957.
  18. Priya, V., Subha, S., &Balamurugan, B. (2017). Analysis of performance measures to handle medical E-commerce shopping cart abandonment in cloud. Informatics in Medicine Unlocked.
  19. Rangith. D Lakshmi narayanan. J and Balajee. J,” A study of behavior on information system in a universitycampus by analysis of people mobility” Internationaljournal of research in computer application& management, Vol. 6, Issue 7, pp. 29-31, Jul.2016.
  20. Ranjith, D., J. Balajee, and C. Kumar. "In premises of cloud computing and models." International Journal of Pharmacy and Technology 8, no. 3 (2016): 4685- 4695.
  21. Sethumadahavi R Balajee J “Big Data Deep Learning in Healthcare for Electronic Health Records,” International Scientific Research Organization Journal, vol. 2, Issue 2, pp. 31–35, Jul. 2017.
  22. Ushapreethi P, BalajeeJeyakumar and BalaKrishnan P, Action Recongnition in Video Survillance Using Hipi and Map Reducing Model, International Journal of Mechanical Engineering and Technology 8(11), 2017,pp. 368–375.

Publication Details

Published in : Volume 4 | Issue 3 | January-February 2018
Date of Publication : 2018-03-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 23-29
Manuscript Number : CSEIT184305
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Bharathidasan K, UdhayaKumar U, "High Performance Cloud Computing in Big Data ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 3, pp.23-29 , January-February-2018.
Journal URL : http://ijsrcseit.com/CSEIT184305

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