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International Conference on Information, Communication and Computing Technology

ICICCT 2019: Intelligent Computing Paradigm and Cutting-edge Technologies pp 312–319Cite as

A Replica Structuring for Job Forecasting and Resource Stipulation in Big Data

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Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 9))

Abstract

Situation of Current days is in exponential growth of the data. When data is mounting up in large magnitude and increasing in size then analyzing data is extremely significant. This paper regards diverse possessions such as Big Data, Map reduce Framework, Performance Model, Job Scheduling, Profiling, the map reduce phase, platform model which illustrate the phase implementation as a function of data being processed and try-out results with respect to shuffle phase performance and accuracy and efficiency of platform performance model.

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References

  1. Abadi, D.J.: Data management in the cloud: limitations and opportunities. IEEE Data Eng. Bull. 32(1), 3–12 (2009)

    MathSciNet  Google Scholar 

  2. Amazon redshift. http://aws.amazon.com/redshift/

  3. Apache S4: distributed stream computing platform. http://incubator.apache.org/s4/

  4. Assunção, M.D., et al.: J. Parallel Distrib. Comput. 79–80, 3–15 (2015)

    Article  MathSciNet  Google Scholar 

  5. Announcing Suro: Backbone of Netflix’s Data Pipeline. http://techblogy.netflix.com/2013/12/announcing-suro-backbone-of-netflixs.html

  6. Andrienko, G., Andrienko, N., Wrobel, S.: Visual analytics tools for analysis of movement data. SIGKDD Explor. Newsl. 9(2), 38–46 (2007)

    Article  Google Scholar 

  7. Ananthanarayanan, R., Gupta, K., Pandey, P., Pucha, H., Sarkar, P., Shah, M., Tewari, R.: Cloud analytics: do we really need to reinvent the storage stack? In: Proceedings of the Conference on Hot Topics in Cloud Computing (HotCloud 2009). USENIX Association, Berkeley (2009)

    Google Scholar 

  8. Announcing Suro: Backbone of Netflix’s Data Pipeline. http://techblog.netflix.com/2013/12/announcing-suro-backbone-of-netflixs.html

  9. Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R.H., Konwinski, A., Lee, G., Patterson, D.A., Rabkin, A., Stoica, I., Zaharia, M.: Above the clouds: a Berkeley view of cloud computing. Technical report UCB/EECS-2009-28, Electrical Engineering and Computer Sciences, University of California at Berkeley, USA, February 2009

    Google Scholar 

  10. Attention, shoppers: Store is tracking your cell, New York Times. http://www.nytimes.com/2013/07/15/business/attention-shopper-storesare-tracking-your-cell.html

  11. Balmin, A., Beyer, K., Ercegovac, V., Ozcan, J.M.F., Pirahesh, H., Shekita, E., Sismanis, Y., Tata, S., Tian, Y.: A platform for eXtreme analytics. IBM J. Res. Dev. 57(3–4), 4:1–4:11 (2013)

    Article  Google Scholar 

  12. Cloud9 Analytics. http://www.cloud9analytics.com

  13. Kumar, A., Niu, F., Ré, C.: Hazy: making it easier to build and maintain big-data analytics. Commun. ACM 56(3), 40–49 (2013)

    Article  Google Scholar 

  14. Chohan, N., Gupta, A., Bunch, C., Prakasam, K.: Hybrid cloud support for large scale analytics and web processing. In: Proceedings of the 3rd USENIX Conference on Web Application Development (WebApps 2012), Boston, USA (2012)

    Google Scholar 

  15. Chen, Q., Hsu, M., Zeller, H.: Experience in Continuous analytics as a Service (CaaaS). In: Proceedings of the 14th International Conference on Extending Database Technology, pp. 509–514. ACM, New York (2011)

    Google Scholar 

  16. Chakrabarti, S., Samanta, D.: Image steganography using priority-based neural network and pyramid. In: Shetty, N., Prasad, N., Nalini, N. (eds.) Emerging Research in Computing, Information, Communication and Applications, pp. 163–172. Springer, Singapore (2016). https://doi.org/10.1007/978-981-10-0287-8_15

    Chapter  Google Scholar 

  17. Ghosh, G., Samanta, D., Paul, M.: Approach of message communication based on twisty “Zig-Zag”. In: 2016 International Conference on Emerging Technological Trends (ICETT) (2016). https://doi.org/10.1109/icett.2016.7873676

  18. Hossain, M.A., Samanta, D., Sanyal, G.: Extraction of panic expression depending on lip detection. In: 2012 International Conference on Computing Sciences (2012a). https://doi.org/10.1109/iccs.2012.35

  19. Hossain, M.A., Samanta, D., Sanyal, G.: Statistical approach for extraction of panic expression. In: 2012 Fourth International Conference on Computational Intelligence and Communication Networks (2012b). https://doi.org/10.1109/cicn.2012.189

  20. Khadri, S.K.A., Samanta, D., Paul, M.: Approach of message communication using Fibonacci series. In: Cryptology. Lecture Notes on Information Theory (2014). https://doi.org/10.12720/lnit.2.2.168-171

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Author information

Authors and Affiliations

  1. Mewar University, Chittorgarh, Rajasthan, India

    G. Suhasini & P. Niranjan

Authors
  1. G. Suhasini
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  2. P. Niranjan
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Corresponding author

Correspondence to G. Suhasini .

Editor information

Editors and Affiliations

  1. University of Technology Sydney, Sydney, Australia

    Lakhmi C. Jain

  2. CSIE Department, National Dong Hwa University, New Taipei City, Taiwan

    Sheng-Lung Peng

  3. Al-Balqa’ Applied University, Salt, Jordan

    Basim Alhadidi

  4. Department of Computer Science, Brainware University, Kolkata, West Bengal, India

    Souvik Pal

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Suhasini, G., Niranjan, P. (2020). A Replica Structuring for Job Forecasting and Resource Stipulation in Big Data. In: Jain, L., Peng, SL., Alhadidi, B., Pal, S. (eds) Intelligent Computing Paradigm and Cutting-edge Technologies. ICICCT 2019. Learning and Analytics in Intelligent Systems, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-38501-9_31

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