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Big Data in Cloud Environment

P. Sharma1 , V. Garg2 , R. Kaur3 , S. Sonare4

Section:Review Paper, Product Type: Journal Paper
Volume-1 , Issue-3 , Page no. 15-17, Nov-2013

Online published on Nov 30, 2013

Copyright © P. Sharma, V. Garg, R. Kaur, S. Sonare . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: P. Sharma, V. Garg, R. Kaur, S. Sonare , “Big Data in Cloud Environment,” International Journal of Computer Sciences and Engineering, Vol.1, Issue.3, pp.15-17, 2013.

MLA Style Citation: P. Sharma, V. Garg, R. Kaur, S. Sonare "Big Data in Cloud Environment." International Journal of Computer Sciences and Engineering 1.3 (2013): 15-17.

APA Style Citation: P. Sharma, V. Garg, R. Kaur, S. Sonare , (2013). Big Data in Cloud Environment. International Journal of Computer Sciences and Engineering, 1(3), 15-17.

BibTex Style Citation:
@article{Sharma_2013,
author = {P. Sharma, V. Garg, R. Kaur, S. Sonare },
title = {Big Data in Cloud Environment},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2013},
volume = {1},
Issue = {3},
month = {11},
year = {2013},
issn = {2347-2693},
pages = {15-17},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=18},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=18
TI - Big Data in Cloud Environment
T2 - International Journal of Computer Sciences and Engineering
AU - P. Sharma, V. Garg, R. Kaur, S. Sonare
PY - 2013
DA - 2013/11/30
PB - IJCSE, Indore, INDIA
SP - 15-17
IS - 3
VL - 1
SN - 2347-2693
ER -

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Abstract

Big Data concerns large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data is now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. However, big data entails a huge commitment of hardware and processing resources, making adoption costs of big data technology prohibitive to small and medium sized businesses. Cloud computing offers the promise of big data implementation to small and medium sized businesses. Big Data processing is performed through a programming paradigm known as MapReduce. Typically, implementation of the MapReduce paradigm requires networked attached storage and parallel processing. The computing needs of MapReduce programming are often beyond what small and medium sized business are able to commit. Cloud computing is on-demand network access to computing resources, provided by an outside entity. Common deployment models for cloud computing include platform as a service (PaaS), software as a service (SaaS), infrastructure as a service (IaaS) & hardware as a service (HaaS).

Key-Words / Index Term

Big Data, Cloud computing, Map/Reduce

References

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