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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 438))

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Abstract

Huge amount of data is created due to the advancement in communications, digital sensors, computation and storage, business information, science, government, and society. It is expected that about 4 zettabytes of electronic data are being generated per year. Big Data is a term applied to data sets whose size is beyond the ability of available tools to undertake their acquisition access, analytics in a reasonable amount of time. The goal of this paper is to do a survey on various architectures available/proposed in the literature to meet the big data requirements. The features of these proposed architectures have also been discussed in the paper. The international standard bodies established for the development of big data domain is explored.

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References

  1. Blair, Ann. 2003. Reading strategies for coping with information overload, ca.1550–1700. Journal of the History of Ideas 64, no. 1: 11–28.

    Google Scholar 

  2. Martin Hilbert, 2012, 1042–1055, International Journal of Communication, “How to Measure “How Much Information”? Theoretical, Methodological, and Statistical Challenges for the Social Sciences”.

    Google Scholar 

  3. http://www.forbes.com/sites/gilpress/2013/05/09/a-very-short-history-of-big-data/.

  4. http://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf.

  5. Big Data definition, Gartner, Inc. [online] http://www.gartner.com/it-glossary/big-data/.

  6. http://searchcloudcomputing.techtarget.com/definition/big-data-Big-Data.

  7. http://bigdatawg.nist.gov/usecases.php/M0147.

  8. http://bigdatawg.nist.gov/usecases.php/M0148.

  9. http://bigdatawg.nist.gov/usecases.php/M0219.

  10. http://www.militaryaerospace.com/topics/m/video/79088650/persistent-surveillance-relies-on-extracting-relevant-data-points-and-connecting-the-dots.htm.

  11. http://stids.c4i.gmu.edu/papers/STIDSPapers/STIDS2012_T14_SmithEtAl_HorizontalIntegrationOfWarFig.hterIntel.pdf.

  12. Regenstrief Institute, http://www.regenstrief.org.

  13. http://www.loinc.org.

  14. http://www.ihie.org.

  15. http://dsc.soic.indiana.edu/publications/NISTUseCase.pdf.

  16. Big Data Ecosystem Reference Architecture Orit Levin, Microsoft July 18th, 2013.

    Google Scholar 

  17. Anthony M. Middleton HPCC Systems: Introduction to HPCC (High-Performance Computing Cluster) May 24, 2011.

    Google Scholar 

  18. An Oracle White Paper in Enterprise Architecture—Information Architecture: An Architect’s Guide to Big Data August 2012.

    Google Scholar 

  19. http://scn.sap.com/community/hana-in-memory/blog/2013/04/30/big-data-technologies-applications.

  20. Evaluation Criteria for Reference Architecture by Robert Marcus.

    Google Scholar 

  21. National Institute of Standards and Technology, http://www.nist.gov/.

  22. http://en.wikipedia.org/wiki/Open_Data_Center_Alliance.

  23. TeleManagement Forum and the Network Management Forum, http://www.tmforum.org/.

  24. Resource Description and Access, http://www.rdatoolkit.org/.

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Correspondence to B. N. Supriya .

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© 2016 Springer Science+Business Media Singapore

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Supriya, B.N., Prakash, S., Akki, C.B. (2016). A Survey on Big Data Architectures and Standard Bodies. In: Satapathy, S., Bhatt, Y., Joshi, A., Mishra, D. (eds) Proceedings of the International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 438. Springer, Singapore. https://doi.org/10.1007/978-981-10-0767-5_42

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  • DOI: https://doi.org/10.1007/978-981-10-0767-5_42

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0766-8

  • Online ISBN: 978-981-10-0767-5

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