Efficient Analysis on Big data Using Map Reduce in Cloud Environment
Abstract & Details
Research Area
Computer Engineering
Keywords
Hadoop
Map Reduce
HDFS
Job Scheduling
Big data
Cloud Computing
Abstract
Nowadays clouds are overloaded by dozen of peta bytes & zeta bytes sized data. Data Inputs are large like social media, industry data, logs of every field and to handle these data we have very few technology like Map reduce, Hadoop, Hive, PIG, WibiData, Platfora, etc. Big Data has many challenges like Handling data volume, Analysis of Big Data, Privacy of data, Storage of huge amount of data, Data visualization, Job scheduling , Fault tolerance. In this paper we are showing improved Fair Scheduling algorithm based on node health degree for job allocation to nodes. Jobs are assigned to node equally and Fair4s algorithm can ensure to reduce job fail rate and improve cluster throughput
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Rajvi N Vora | Silver Oak College of engineering and technology |
| 2 | Darshil J Shah | Silver Oak College of engineering and technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Vora, Rajvi N & Shah, Darshil J (2016). Efficient Analysis on Big data Using Map Reduce in Cloud Environment. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 2398-2401.
MLA Style
Vora, Rajvi N, and Darshil J Shah. "Efficient Analysis on Big data Using Map Reduce in Cloud Environment." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 2398-2401.
IEEE Style
Rajvi N Vora and Darshil J Shah, "Efficient Analysis on Big data Using Map Reduce in Cloud Environment," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 2398-2401, 2016.
Vancouver Style
Vora Rajvi N, Shah Darshil J. Efficient Analysis on Big data Using Map Reduce in Cloud Environment. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):2398-2401.
Harvard Style
Vora, Rajvi N & Shah, Darshil J (2016) 'Efficient Analysis on Big data Using Map Reduce in Cloud Environment', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 2398-2401.
Chicago Style
Vora, Rajvi N and Darshil J Shah. "Efficient Analysis on Big data Using Map Reduce in Cloud Environment." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 2398-2401.
Turabian Style
Vora, Rajvi N and Darshil J Shah. "Efficient Analysis on Big data Using Map Reduce in Cloud Environment." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 2398-2401.
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