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Distributed Commuting Augmented Shortest Path Finding for Geo Spatial Database

by Manoj Pandya, Abdul Zummarwala, Prashant Chauhan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 19
Year of Publication: 2012
Authors: Manoj Pandya, Abdul Zummarwala, Prashant Chauhan
10.5120/8311-1934

Manoj Pandya, Abdul Zummarwala, Prashant Chauhan . Distributed Commuting Augmented Shortest Path Finding for Geo Spatial Database. International Journal of Computer Applications. 52, 19 ( August 2012), 28-31. DOI=10.5120/8311-1934

@article{ 10.5120/8311-1934,
author = { Manoj Pandya, Abdul Zummarwala, Prashant Chauhan },
title = { Distributed Commuting Augmented Shortest Path Finding for Geo Spatial Database },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 19 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 28-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number19/8311-1934/ },
doi = { 10.5120/8311-1934 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:41.522725+05:30
%A Manoj Pandya
%A Abdul Zummarwala
%A Prashant Chauhan
%T Distributed Commuting Augmented Shortest Path Finding for Geo Spatial Database
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 19
%P 28-31
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Geo Spatial information is a large collection of datasets referring to the real world entities. Geo Spatial information has evolved in the last decade which led to produce a vast platform in Government Administration, Scientific Analysis and other various sectors especially in disaster management (DM), site suitability of Check-dams for Irrigation Department etc. It is required to obtain imperative geographically analyzed solutions like finding shortest path between sources (i. e. location having stock of food packets, clinical remedial and therapeutic kits, etc. ) to the destination (i. e. location where disaster emerges). Departmental data (i. e. village Maps) covers detailed spatial and attribute information compared to the readily available sources. Hence custom solutions based on Information Technology are required to be constructed, processed efficiently and quickly to outfit seamless performance that facilitates in mission critical incidences.

References
  1. Lam, Chuck (July 28, 2010). Hadoop in Action (1st Ed. ). Manning Publications. ISBN 1-935182-19-6.
  2. J. Dean and S. Ghemawat. MapReduce: Simpli?ed Data Processing on Large Clusters. OSDI '04, pages 137–150.
  3. Courtesy form BISAG
  4. Z. Mahmood and R. Hill (eds. ), Cloud Computing for Enterprise Architectures, Computer Communications and Networks, DOI 10. 1007/978-1-4471-2236-4_2, © Springer-Verlag London Limited 2011
  5. VerticaInputFormat. http://www. vertica. com/mapreduce
  6. Tom White. Hadoop:The Definitive Guide[M]. United States of America: O'Reilly Media, Inc. 2009.
  7. Jeffrey Dean, Sanjay Ghemawat. MapReduce:Simplied data processing on large clusters[C]. Proceedings of the 6th Symposium on Operating System Design and Implementation. New York: ACM Press. 2004:137-150.
  8. Raghavendra, C. S. , Kumar, V. K. P. and Hariri S. , "Reliability analysis in Distributed systems", IEEE Transactions on Computers, Volume 37, Issue 3, Pg. 352 – 358, March 1988.
  9. Kin-Sun-Wah and McAlister D. F, Reliability optimization of computer communication network, IEEE Trans. On Reliability, Vol. 37, No. 2, Pp. 275- 287 (1998) Dccember.
  10. GPFS in the Cloud: Storage Virtualization with NPIV on IBM System p and IBM System Storage DS5300.
  11. Bo Peng, B. C. (2009). Implementation Issues of A Cloud Computing Platform. IEEE , 8.
  12. R. Agrawal and J. C. Shafer , "Parallel Mining of Association Rules," Distributed Systems Online March 2004.
  13. D. W. Cheung , et al. , "Efficient Mining of Association Rules in Distributed Databases,"IEEE Trans. Knowledge and Data Eng. , vol. 8, no. 6, 1996,pp. 911-922.
Index Terms

Computer Science
Information Sciences

Keywords

Geo Database Distributed Computing Dijkstra Shortest Path GIS Hadoop Shapefile

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