• vishal prasad sharma
• udit kamboj

Driven by the consistent expanded in "conceived advanced" information, information driven registering gives new difficulties in information administration and investigation in the life sciences and in numerous different controls extending from coordination’s (activity examination) to sociology(online networking). These difficulties are altogether different than the customary re-enactment challenges since managing a large number of individual records and terabytes of information. Cutting edge investigation techniques in light of bunching and orders for conventional re-enactments regularly require the examination of complex information records in an iterative procedure. In this paper we present MPI-MapReduce based clustering of complex biological dataset using octree clustering method. We performed experiments on a distributed environment using MapReduce and MPI. The results outperforms the existing clustering method which uses Euclidian distance. The proposed L2 norm based octree clustering shows more levels of separated ligand.

Biological Ligand, MPI, MapReduce, Octree Based Clustering.

"A MPI-MapReduce Based Parallel Engine For Clustering Complex Biological Ligand ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.531-537, June-2019, Available :http://www.jetir.org/papers/JETIR1907073.pdf

"A MPI-MapReduce Based Parallel Engine For Clustering Complex Biological Ligand ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp531-537, June-2019, Available at : http://www.jetir.org/papers/JETIR1907073.pdf