Multi precise interpolation-available KVS for geographical data management

Hiroki Saito, Tatsunori Ushikubo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The location-based services (LBS) deal with spatially continuous data such as temperature and air pressure. Although the distributed measurement infrastructure such as sensor networks generates real-world data, the data is incomplete and imprecise. Moreover, since spatially continuous data are large amount of collected data in the real world, we need to manage such data in a distributed architecture. As a way to manage such data, P2P-based key-value store has attracted much attention. However, existing database systems cannot deal with spatially continuous data. In this paper we design P2P-based distributed key-value store using an interpolation technique for managing spatially continuous data.

Original languageEnglish
Title of host publicationProceedings of the European Conference on Data Mining 2014 and International Conferences on Intelligent Systems and Agents 2014 and Theory and Practice in Modern Computing 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014
EditorsJorg Roth, Ajith P. Abraham, Antonio Palma dos Reis
PublisherIADIS
Pages253-256
Number of pages4
ISBN (Electronic)9789898704108
Publication statusPublished - 1 Jan 2014
EventEuropean Conference on Data Mining 2014 and International Conferences on Intelligent Systems and Agents 2014 and Theory and Practice in Modern Computing 2014 - Lisbon, Portugal
Duration: 15 Jul 201417 Jul 2014

Publication series

NameProceedings of the European Conference on Data Mining 2014 and International Conferences on Intelligent Systems and Agents 2014 and Theory and Practice in Modern Computing 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014

Conference

ConferenceEuropean Conference on Data Mining 2014 and International Conferences on Intelligent Systems and Agents 2014 and Theory and Practice in Modern Computing 2014
CountryPortugal
CityLisbon
Period15/07/1417/07/14

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Keywords

  • Geographical data processing
  • Interpolation
  • Location-based services
  • P2P networks

Cite this

Saito, H., & Ushikubo, T. (2014). Multi precise interpolation-available KVS for geographical data management. In J. Roth, A. P. Abraham, & A. P. dos Reis (Eds.), Proceedings of the European Conference on Data Mining 2014 and International Conferences on Intelligent Systems and Agents 2014 and Theory and Practice in Modern Computing 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014 (pp. 253-256). (Proceedings of the European Conference on Data Mining 2014 and International Conferences on Intelligent Systems and Agents 2014 and Theory and Practice in Modern Computing 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014). IADIS.