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

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    Authors
    Bessis, Nik
    Asimakopoulou, Eleana
    French, Tim
    Norrington, Peter
    Xhafa, Fatos
    Issue Date
    2010
    Subjects
    web services
    cloud computing
    
    Metadata
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    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.
    Citation
    Bessis, N.; Asimakopoulou, E.; French, T.; Norrington, P. and Xhafa, F. (2010) 'The Big Picture, from Grids and Clouds to Crowds: A Data Collective Computational Intelligence Case Proposal for Managing Disasters,' P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), International Conference on : 351-356
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    URI
    http://hdl.handle.net/10547/279214
    DOI
    10.1109/3PGCIC.2010.58
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5662766
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9780769542379
    ae974a485f413a2113503eed53cd6c53
    10.1109/3PGCIC.2010.58
    Scopus Count
    Collections
    Centre for Research in Distributed Technologies (CREDIT)

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