Geospatial Enormous Information Processing in an Open Source Circulated Computing Environment

Authors(3) :-N. Deshai, Dr. I. Hemalatha, Dr. G. P. Saradhi Varma

Significant progression of spatial information sharing organization, it introduces appeal to comfort and expansibility of supporting system. In perspective of tremendous scale versatile server gathering, disseminated processing passes on needs to settle the current troublesome issues in the space of geospatial information advantage. In this paper, we imported disseminated figuring development including MapReduce model and Hadoop arrange into the space of Geographic Data Framework (GIS). Those key advancement issues in the utilization of GIS; for instance, spatial data accumulating, spatial rundown and spatial operation were delineated and inspected in detail. We surveyed the execution and viability of spatial operation in Hadoop attempt condition with this present reality educational gathering. It displays the fittingness of circulated registering advancement in handling heightened spatial applications.

Authors and Affiliations

N. Deshai
Assistant Professor, Department Information Technology, S.R.K.R Engineering College, Bhimavaram, Andhra Pradesh, India
Dr. I. Hemalatha
Professor, Department of Information Technology, S.R.K.R Engineering College, Bhimavaram, Andhra Pradesh, India
Dr. G. P. Saradhi Varma
Professor, Department of Information Technology, S.R.K.R Engineering College, Bhimavaram, Andhra Pradesh, India

Geographic Information System, Hadoop, Cloud Computing, Map Reduce, Geospatial Service

  1. A. Ghoting, "et. al. SystemML: Declarative Machine Learning on MapReduce," in ICDE, 2011.
  2. http://giraph.apache.org/.
  3. G. Wang, M. Salles, B. Sowell, X. Wang, T. Cao, A. Demers, J. Gehrke, and W. White, "Behavioral Simulations in MapReduce," PVLDB, 2010.
  4. J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of ACM, vol. 51, 2008.
  5. http://aws.amazon.com/blogs/aws/process-earth-science-data-on-aws-with-nasa-nex/.
  6. http://esri.github.io/gis-tools-for-hadoop/.
  7. J. Lu and R. H. Guting, "Parallel Secondo: Boosting Database Engines with Hadoop," in ICPADS, 2012.
  8. S. Nishimura, S. Das, D. Agrawal, and A. El Abbadi, "MD-HBase: Design and Implementation of an Elastic Data Infrastructure for Cloudscale Location Services," DAPD, vol. 31, no. 2, pp. 289319, 2013.
  9. "HBase," 2012, http://hbase.apache.org/.
  10. A. Aji, F. Wang, H. Vo, R. Lee, Q. Liu, X. Zhang, and J. Saltz, "Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce," in VLDB, 2013.
  11. A. Thusoo, "et. al. Hive: A Warehousing Solution over a Map-Reduce Framework," PVLDB, 2009.
  12. http://spatialhadoop.cs.umn.edu/.
  13. A. Eldawy, Y. Li, M. F. Mokbel, and R. Janardan, "CG Hadoop: Computational Geometry in MapReduce," in SIGSPATIAL, 2013.
  14. C. Olston, "et. al. Pig Latin: A Not-so-foreign Language for Data Processing," in SIGMOD, 2008.
  15. A. Eldawy and M. F. Mokbel, "Pigeon: A Spatial MapReduce Language," in ICDE, 2014.
  16. http://www.opengeospatial.org/.
  17. A. Cary, Z. Sun, V. Hristidis, and N. Rishe, "Experiences on Processing Spatial Data with MapReduce," in SSDBM, 2009.
  18. Q. Ma, B. Yang, W. Qian, and A. Zhou, "Query Processing of Massive Trajectory Data Based on MapReduce," in CLOUDDB, 2009.
  19. S. Zhang, J. Han, Z. Liu, K. Wang, and S. Feng, "Spatial Queries Evaluation with MapReduce," in GCC, 2009.
  20. A. Akdogan, U. Demiryurek, F. Banaei-Kashani, and C. Shahabi, "Voronoi-based Geospatial Query Processing with MapReduce," in CLOUDCOM, 2010.
  21. K. Wang, "et. al. Accelerating Spatial Data Processing with MapReduce," in ICPADS, 2010.
  22. J. Patel and D. DeWitt, "Partition Based Spatial-Merge Join," in SIG-MOD, 1996.
  23. W. Lu, Y. Shen, S. Chen, and B. C. Ooi, "Efficient Processing of k Nearest Neighbor Joins using MapReduce," PVLDB, 2012.
  24. C. Zhang, F. Li, and J. Jestes, "Efficient Parallel kNN Joins for Large Data in MapReduce," in EDBT, 2012.
  25. J. Zhou, "et. al. SCOPE: Parallel Databases Meet MapReduce," PVLDB, 2012.
  26. R. Lee, T. Luo, Y. Huai, F. Wang, Y. He, and X. Zhang, "Ysmart: Yet another sql-to-mapreduce translator," in ICDCS, 2011.
  27. I. Kamel and C. Faloutsos, "Parallel R-trees," in SIGMOD, 1992.
  28. S. Leutenegger and D. Nicol, "Efficient Bulk-Loading of Gridfiles," TKDE, vol. 9, no. 3, 1997.
  29. I. Kamel and C. Faloutsos, "Hilbert R-tree: An Improved R-tree using Fractals," in VLDB, 1994.
  30. S. Leutenegger, M. Lopez, and J. Edgington, "STR: A Simple and Efficient Algorithm for R-Tree Packing," in ICDE, 1997.
  31. H. Liao, J. Han, and J. Fang, "Multi-dimensional Index on Hadoop Distributed File System," ICNAS, vol. 0, 2010.
  32. J. Nievergelt, H. Hinterberger, and K. Sevcik, "The Grid File: An Adaptable, Symmetric Multikey File Structure," TODS, vol. 9, no. 1, 1984.
  33. A. Guttman, "R-Trees: A Dynamic Index Structure for Spatial Searching," in SIGMOD, 1984.
  34. T. K. Sellis, N. Roussopoulos, and C. Faloutsos, "The R+-Tree: A Dynamic Index for Multi-Dimensional Objects," in VLDB, 1987.
  35. http://www.openstreetmap.org/.
  36. J.-P. Dittrich and B. Seeger, "Data Redundancy and Duplicate Detection in Spatial Join Processing," in ICDE, 2000.
  37. S. Zhang, J. Han, Z. Liu, K. Wang, and Z. Xu, "SJMR: Parallelizing spatial join with MapReduce on clusters," in CLUSTER, 2009.

Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 318-325
Manuscript Number : CSEIT1172693
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

N. Deshai, Dr. I. Hemalatha, Dr. G. P. Saradhi Varma, "Geospatial Enormous Information Processing in an Open Source Circulated Computing Environment", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.318-325, November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT1172693

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