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GeoHash and UUID Identifier for Multi-Agent Systems

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 7327)

Abstract

This paper documents the case to address the distributed data storage and widely used unique identifiers which are in use from the beginning of databases and backend systems. The importance of uniqueness for object system identifiers is crucial for efficient data retrieval, storage and comparison. We are representing the new method for objects tagging using synergy mechanism between well known Geohash algorithm and Universally Unique Identifiers we call GHUUID (Geohash+UUID) gaining the agent system spatio-temporal identification of all data available. Multi-Agent systems in their nature strongly rely upon distributed databases across vast amount of data. Some of the interoperability issues are solved with usage of semantic web principles which can be cumbersome to implement and maintain. Most systems need the basic space-time correlation which can be the corner stone for the efficient analysis and data aligning regardless of objects stored and their nature.

Keywords

  • Multi-Agent mechanism design
  • distributed unique identifiers
  • geo location awareness
  • data filtering and analysis

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References

  1. Durfee, E.: Planning in Distributed Artificial Intelligence. In: O’Hare, G.M.P., Jennings, N.R. (eds.) Foundations of Distributed Artificial Intelligence, pp. 231–246. Wiley, New York (1996)

    Google Scholar 

  2. Durfee, E.H., Lesser, V.: Negotiating Task Decomposition and Alloca-tion Using Partial Global Planning. In: Gasser, L., Huhns, M. (eds.) Distributed Artificial Intelligence, vol. 2, pp. 229–244. Morgan Kaufmann, San Francisco (1989)

    Google Scholar 

  3. Chaimontree, S., Atkinson, K., Coenen, F.: Clustering in a Multi-Agent Data Mining Environment (2010)

    Google Scholar 

  4. W. Contributors, Geohash, Wikipedia.org (2011)

    Google Scholar 

  5. http://geohash.org/site/tips.html

  6. A Universally Unique IDentifier (UUID) URN Namespace, http://www.ietf.org/rfc/rfc4122.txt

  7. http://dev.mysql.com/doc/refman/5.0/en/miscellaneous-functions.html#function_uuid--MySQLUUIDsupportfunction

  8. Bellifemine, F., Caire, G., Poggi, A., Rimassa, G.: JADE: a Software Framework for Developing Multi-Agent Applications. Lessons Learned. Information and Software Technology Journal 50, 10–21 (2008)

    Google Scholar 

  9. Gaber, H., Amin, S., Salem, A.-B.M.: Geospatial Multi-agent System for Urban Search and Rescue (2011)

    Google Scholar 

  10. Gaber, H., Amin, S., Salem, A.-B.M.: A Combined Coordination Technique for Multi-Agent Path Planning. In: Proc of ISDA (2010)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Balkić, Z., Šoštarić, D., Horvat, G. (2012). GeoHash and UUID Identifier for Multi-Agent Systems. In: Jezic, G., Kusek, M., Nguyen, NT., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems. Technologies and Applications. KES-AMSTA 2012. Lecture Notes in Computer Science(), vol 7327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30947-2_33

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  • DOI: https://doi.org/10.1007/978-3-642-30947-2_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30946-5

  • Online ISBN: 978-3-642-30947-2

  • eBook Packages: Computer ScienceComputer Science (R0)