Novel pervasive computing services experienced through personal smart spaces

Claudio Venezia, Nick Taylor, Howard Williams, Kevin Doolin, Ioanna Roussaki

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

3 Citations (Scopus)

Abstract

A major research challenge in the IT domain nowadays is to enable new experiences by building intelligent spaces around users, enhanced by pervasive computing services. The European FP7 Project PERSIST (PERsonal Self-Improving SmarT spaces) is investigating a novel approach to meet this challenge. PERSIST aims to define an ecosystem on top of which novel pervasive services can be built. This paper explains the notion of a Personal Smart Space (PSS), provides a reference case study and describes some aspects of how PSSs might operate. PERSIST is also researching on new paradigms for harmonizing p2p functionalities with network services. We present a case study and bring into focus the main challenges We are mastering for pursuing a middleware to support PSSs management and mutual interaction. © 2009 IEEE.

Original languageEnglish
Title of host publicationProceedings - 2009 10th International Conference on Mobile Data Management: Systems, Services and Middleware, MDM 2009
Pages484-489
Number of pages6
DOIs
Publication statusPublished - 2009
Event2009 10th International Conference on Mobile Data Management: Systems, Services and Middleware - Taipei, Taiwan, Province of China
Duration: 18 May 200920 May 2009

Conference

Conference2009 10th International Conference on Mobile Data Management: Systems, Services and Middleware
Abbreviated titleMDM 2009
CountryTaiwan, Province of China
CityTaipei
Period18/05/0920/05/09

Keywords

  • Ad hoc computing
  • Context awareness
  • Personal smart space
  • Pervasive computing
  • Proactivity

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    Venezia, C., Taylor, N., Williams, H., Doolin, K., & Roussaki, I. (2009). Novel pervasive computing services experienced through personal smart spaces. In Proceedings - 2009 10th International Conference on Mobile Data Management: Systems, Services and Middleware, MDM 2009 (pp. 484-489) https://doi.org/10.1109/MDM.2009.85