Map Reduce for big data processing based on traffic aware partition and aggregation

Author:

Venkatesh G.,Arunesh K.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference24 articles.

1. Vadivel, M.: Enhancing map-reduce framework for big data with hierarchical clustering. Int. J. Innov. Res. Comput. Commun. Eng. 2(Special Issue 1) (2014)

2. Vidya, P.: Big data hadoop: aggregation techniques. Int. J. Sci. Res. (IJSR). ISSN (Online): 2319–7064 (2014)

3. Lena T. Ibrahim, Rosilah Hassan, Ahmad, K., Asat, A.N.: A study on improvement of internet traffic measurement and analysis using Hadoop system. In: The 5th International Conference on Electrical Engineering and Informatics, 10–11 Aug, 2015, Bali, Indonesia (2015)

4. Dhanalakshmi, R., Mohamed Jakkariya, S., Mangaiarkarasi, S.: Aggregation methodology on map reduce for big data applications by using traffic-aware partition algorithm. Int. J. Innov. Res. Comput. Commun. Eng. 4(2) (2016)

5. Ahammad Fahad, S.K., Alam, M.M.: A modified K-means algorithm for big data clustering. In: IJCSET April 2016, vol. 6, Issue 4, pp. 129–132 (2016). www.ijcset.net

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