The big picture, from grids and clouds to crowds: A data collective computational intelligence case proposal for managing disasters

Nik Bessis, Eleana Asimakopoulou, Tim French, Peter Norrington, Fatos Xhafa

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)peer-review

39 Citations (Scopus)

Abstract

Much work is underway within the broad next generation technologies community on issues associated with the development of services to foster collaboration via the integration of distributed and heterogeneous data systems and technologies. Various technology-driven paradigms have emerged, including Web Services, Web 2.0, Pervasive, Grids and Cloud Computing. Recently, some new paradigms have emerged, including Situated Computing and Crowd Sourcing. In this exploratory paper, we aim to be visionary, thus, we offer an overview highlighting relationships between these paradigms, the goal is to present how these fit into the broader picture of IT. More specifically, to discuss how these could help coin and prompt future direction of their usage (integration) in various real-world scenarios. A disaster management scenario is presented to illustrate the big picture's model architecture, as well as briefly discuss the potential impact resulting from the collective computational intelligence approach.

Original languageEnglish
Title of host publicationProceedings - International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2010
Pages351-356
Number of pages6
DOIs
Publication statusPublished - 4 Nov 2010
Event5th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2010 - Fukuoka, Japan
Duration: 4 Nov 20106 Nov 2010

Publication series

NameProceedings - International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2010

Conference

Conference5th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2010
Country/TerritoryJapan
CityFukuoka
Period4/11/106/11/10

Keywords

  • Ad hoc mobile networks
  • Cloud computing
  • Collective intelligence
  • Component
  • Crowd sourcing
  • Disaster management
  • Grid computing

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