References

Dean, J. and S. Ghemawat, 2004. MapReduce: Simplified data processing on large clusters. Proceedings of the 6th Symposium on Operating Systems Design and Implementation, December 6-8, 2004, San Francisco, CA., USA., pp: 137-150.

Fan, L., B. Gao, X. Sun, F. Zhang and Z. Liu, 2014. Improving the Load Balance of Mapreduce Operations Based on the Key Distribution of Pairs. Cornell University Library, Ithaca, New York, USA.,.

Franks, B., 2012. Taming the big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics. Vol. 49, John Wiley & Sons, New York, USA.,.

Hsueh, S.C., M.Y. Lin and Y.C. Chiu, 2014. A load-balanced mapreduce algorithm for blocking-based entity-resolution with multiple keys. Proceedings of the Twelfth Australasian Symposium on Parallel and Distributed Computing, Vol. 152, January 20-23, 2014, Australian Computer Society Inc, Darlinghurst, Australia, ISBN: 978-1-921770-34-0, pp: 3-9.

Ibrahim, S., H. Jin, L. Lu, S. Wu and B. He et al., 2010. Leen: Locality fairness-aware key partitioning for mapreduce in the cloud. Proceeding of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science (CloudCom), November 30-December 3, 2010, IEEE, Wuhan, China, ISBN: 978-1-4244-9405-7, pp: 17-24.

Kosec, G. and B. Sarler, 2013. Solution of a low Prandtl number natural convection benchmark by a local meshless method. Int. J. Numer. Meth. Heat Fluid Flow, 23: 189-204.
Direct Link  |  

Moniruzzaman, A.B.M. and S.A. Hossain, 2013. NoSQL database: New era of databases for big data analytics-classification, characteristics and comparison. Int. J. Database Theor. Appl., 6: 1-14.
Direct Link  |  

Palanisamy, B., A. Singh, L. Liu and B. Jain, 2011. Purlieus: Locality-aware resource allocation for MapReduce in a cloud. Proceedings of the 2011 International Conference on for High Performance Computing, Networking, Storage and Analysis, November 12-18, 2011, ACM, New York, USA., ISBN: 978-1-4503-0771-0, pp: 1-58.

Stepisnik, U. and G. Kosec, 2011. Modelling of slope processes on karst modeliranje pobocnih Procesov na Krasu. Acta Carsologica, 40: 267-273.

Taylor, R.C., 2010. An overview of the Hadoop-MapReduce-HBase framework and its current applications in bioinformatics. BMC. Bioinf., 11: S1-S12.
CrossRef  |  Direct Link  |  

Wang, L., J. Tao, R. Ranjan, H. Marten and A. Streit et al., 2013. G-Hadoop: Map reduce across distributed data centers for data-intensive computing. Future Gener. Comput. Syst., 29: 739-750.
Direct Link  |