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    A Novel Approach to Minimizing the Risks of Soft Errors in Mobile and Ubiquitous Systems

    135074_135074.pdf (131.2Kb)
    Access Status
    Open access
    Authors
    Ortega-Sanchez, Cesar
    Myers, Doug
    Sadi, M.
    Date
    2009
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Ortega-Sanchez, Cesar and Myers, Doug and Sadi, M. 2009. A Novel Approach to Minimizing the Risks of Soft Errors in Mobile and Ubiquitous Systems, in IEEE (ed), IEEE Region X Conference (TENCON 2009), Nov 23 2009, pp. 1-6.Singapore: IEEE.
    Source Title
    Proceedings of IEEE Region X Conference (TENCON 2009)
    Source Conference
    IEEE Region X Conference (TENCON 2009)
    Additional URLs
    http://ieeexplore.ieee.org
    ISBN
    978-1-4244-4546-2
    Faculty
    Department of Electrical and Computer Engineering
    School of Engineering
    Faculty of Science and Engineering
    Remarks

    Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/31711
    Collection
    • Curtin Research Publications
    Abstract

    A novel approach to minimizing the risks of soft errors at modelling level of mobile and ubiquitous systems is outlined. From a pure dependability viewpoint, critical components, whose failure is likely to impact on system functionality, attract more attention of protection/prevention mechanisms (against soft errors) than others do. Tolerating soft errors can be much improved if critical components can be identified at an early design phase and measures are taken to lower their criticalities at that stage. This improvement is achieved by presenting a criticality ranking (among the components) formed by combining a prediction of soft errors, consequences of them, and a propagation of failures at system modelling phase; and pointing out the ways to apply changes in the model to minimize the risks of degradation of desired functionalities. Case study results are given to illustrate and validate the approach.

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