Skip to main content

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 205))

Abstract

This paper deals the brand new future memory management in robotics flied. It is a massive challenging issue of this proposal because till now existing database system did not support robotics. While designing the database it is very complex to make a robotic database made with complex designs for the effective data retrieval so here we provide a new concept called NOSQL. It comes under the non-relational database type it can handle the large volumes of data and it can easily process it. It does not have rigid schema design we can apply multiple operations on the single row and in addition we included map reduce concepts it can splits the job to the respective workers so that it can map the data easily in such way that the robots can think, through this map reduce approach we obtain parallelism to processing the large dataset.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abadi, D.J., Madden, S.R., Ferreira, M.C.: Integrating compression and execution in columnoriented database systems. In: Proc. of SIGMOD (2006)

    Google Scholar 

  2. Ailamaki, A., Dewitt, D.J., Hill, M.D., Skounakis, M.: Weaving relations for cache performance. The VLDB Journal, 169–180 (2001)

    Google Scholar 

  3. Banga, G., Druschel, P., Mogul, J.C.: Resource containers: A new facility for resource management in server systems. In: Proc. of the 3rd OSDI, pp. 45–58 (February 1999)

    Google Scholar 

  4. Baru, C.K., Fecteau, G., Goyal, A., Hsiao, H., Jhingran, A., Padmanabhan, S., Copeland, G.P., Wilson, W.G.: DB2 parallel edition. IBM Systems Journal 34(2), 292–322 (1995)

    Article  Google Scholar 

  5. Bavier, A., Bowman, M., Chun, B., Culler, D., Karlin, S., Peterson, L., Roscoe, T., Spalink, T., Wawrzoniak, M.: Operating system support for planetary-scale network services. In: Proc. of the 1st NSDI, pp. 253–266 (March 2004)

    Google Scholar 

  6. Bentley, J.L., Mcilroy, M.D.: Data compression using long common strings. In: Data Compression Conference, pp. 287–295 (1999)

    Google Scholar 

  7. Bloom, B.H.: Space/time trade-offs in hash coding with allowable errors. CACM 13(7), 422–426 (1970)

    Article  MATH  Google Scholar 

  8. Burrows, M.: The Chubby lock service for loosely coupled distributed systems. In: Proc. of the 7th OSDI (November 2006)

    Google Scholar 

  9. Chandra, T., Griesemer, R., Redstone, J.: Paxos made live. An engineering perspective. In: Proc. of PODC (2007)

    Google Scholar 

  10. Comer, D.: Ubiquitous B-tree. Computing Surveys 11(2), 121–137 (1979)

    Article  MATH  Google Scholar 

  11. Copeland, G.P., Alexander, W., Boughter, E.E., Keller, T.W.: Data placement in Bubba. In: Proc. of SIGMOD, pp. 99–108 (1988)

    Google Scholar 

  12. Dean, J., Ghemawat, S.: MapReduce: Simpli_ed data processing on large clusters. In: Proc. of the 6th OSDI, pp. 137–150 (December 2004)

    Google Scholar 

  13. Dewitt, D., Katz, R., Olken, F., Shapiro, L., Stonebraker, M., Wood, D.: Implementation techniques for main memory database systems. In: Proc. of SIGMOD, pp. 1–8 (June 1984)

    Google Scholar 

  14. Dewitt, D.J., Gray, J.: Parallel database systems: The future of high performance database systems. CACM 35(6), 85–98 (1992)

    Article  Google Scholar 

  15. French, C.D.: One size _ts all database architectures do not work for DSS. In: Proc. of SIGMOD, pp. 449–450 (May 1995)

    Google Scholar 

  16. Gawlick, D., Kinkade, D.: Varieties of concurrency control in IMS/VS fast path. Database Engineering Bulletin 8(2), 3–10 (1985)

    Google Scholar 

  17. Ghemawat, S., Gobioff, H., Leung, S.-T.: The Google _le system. In: Proc. of the 19th ACM SOSP, pp. 29–43 (December 2003)

    Google Scholar 

  18. Gray, J.: Notes on database operating systems. In: Flynn, M.J., Jones, A.K., Opderbeck, H., Randell, B., Wiehle, H.R., Gray, J.N., Lagally, K., Popek, G.J., Saltzer, J.H. (eds.) Operating Systems. LNCS, vol. 60, pp. 393–481. Springer, Heidelberg (1978)

    Chapter  Google Scholar 

  19. Greer, R.: Daytona and the fourth-generation language Cymbal. In: Proc. of SIGMOD, pp. 525–526 (1999)

    Google Scholar 

  20. Hagmann, R.: Reimplementing the Cedar _le system using logging and group commit. In: Proc. of the 11th SOSP, pp. 155–162 (December 1987)

    Google Scholar 

  21. Hartman, J.H., Ousterhout, J.K.: The Zebra striped network _le system. In: Proc. of the 14th SOSP, Asheville, NC, pp. 29–43 (1993)

    Google Scholar 

  22. KX.COM: Product page, KX.COM.kx.com/products/database.php

  23. Lamport, L.: The part-time parliament. ACM TOCS 16(2), 133–169 (1998)

    Article  Google Scholar 

  24. Maccormick, J., Murphy, N., Najork, M., Thekkath, C.A., Zhou, L.: Boxwood: Abstractions as the foundation for storage infrastructure. In: Proc.of the 6th OSDI, pp. 105–120 (December 2004)

    Google Scholar 

  25. Mccarthy, J.: Recursive functions of symbolic expressions and their computation by machine. CACM 3(4), 184–195 (1960)

    Article  MATH  Google Scholar 

  26. Robbins, R.J.: Database Fundamentals. Johns Hopkins University, rrobbins@gdb.org

    Google Scholar 

  27. NOSQL-databases.org

    Google Scholar 

  28. http://books.couchdb.org/relax/intro/eventual-consistency

  29. http://www.rackspacecloud.com/blog/2009/11/09/NOSQL-ecosystem/.JonathanEllis

  30. http://blog.evanweaver.com/articles/2009/07/06/up-and-running-with-cassandra/

  31. http://horicky.blogspot.com/2009/11/NOSQL-patterns.html

  32. http://www.slideshare.net/Eweaver/cassandra-presentation-at-NOSQL

  33. Bigtable: A Distributed storage system for structured data, google, Inc. In: OSDI, Map Reduce: Simplified Data Processing on Large Cluster, Google, Inc. (2006)

    Google Scholar 

  34. Vijay Kumar, S., Saravanakumar, S.G.: Revealing of NOSQL Secrets. CiiT Journal 2(10), 310–314 (2010), doi= http://www.ciitresearch.org/dmkeoctober2010.html

    Google Scholar 

  35. Vijay Kumar, S., Saravanakumar, S.G.: Emerging Trends in Robotics and Communication Technologies. In: INTERACT 2010 (December 2010), doi= http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5706225

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Vijaykumar, S., Saravanakumar, S.G. (2011). Future Robotics Memory Management. In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Advances in Digital Image Processing and Information Technology. DPPR 2011. Communications in Computer and Information Science, vol 205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24055-3_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24055-3_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24054-6

  • Online ISBN: 978-3-642-24055-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics