2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop

27-28 Sept. 2010

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  • [Front cover]

    Publication Year: 2010, Page(s): C1
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  • [Title page i]

    Publication Year: 2010, Page(s): i
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  • [Title page iii]

    Publication Year: 2010, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2010, Page(s): iv
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  • Table of contents

    Publication Year: 2010, Page(s):v - x
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  • SAN 2010 Message from the Workshop Chairs

    Publication Year: 2010, Page(s):xi - xii
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  • SAN 2010 Committees

    Publication Year: 2010, Page(s): xiii
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  • SEISMYC 2010 Message from the Workshop Chairs

    Publication Year: 2010, Page(s): xiv
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  • SEISMYC 2010 Committees

    Publication Year: 2010, Page(s): xv
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  • SEISMYC 2010 reviewers

    Publication Year: 2010, Page(s): xvi
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  • SCW 2010 Message from the Workshop Chairs

    Publication Year: 2010, Page(s): xvii
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  • SCW 2010 Organizing Committee

    Publication Year: 2010, Page(s): xviii
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  • QTESO 2010 Message from the Workshop Chairs

    Publication Year: 2010, Page(s):xix - xx
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  • QTESO 2010 Committees

    Publication Year: 2010, Page(s): xxi
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  • QTESO 2010 Reviewers

    Publication Year: 2010, Page(s): xxii
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  • PerAda 2010 Message from the Workshop Chairs

    Publication Year: 2010, Page(s): xxiii
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  • PerAda 2010 Committees

    Publication Year: 2010, Page(s): xxiv
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  • TSOS 2010 Message from the Workshop Chairs

    Publication Year: 2010, Page(s): xxv
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  • TSOS 2010 Committees

    Publication Year: 2010, Page(s): xxvi
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  • SCW 2009 Organizing Committee

    Publication Year: 2010, Page(s): xxvii
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  • SCW 2009 Invited Keynote

    Publication Year: 2010, Page(s):xxviii - xxx
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (118 KB) | HTML iconHTML

    Understanding molecular scale phenomena is a critical component of many scientific disciplines. The ability to retrieve nanoscale information from inside macroscale systems is particularly useful in biological fields where the diversity of molecular components and interaction dynamics within a cell make it difficult to monitor and quantify the underlying processes. Current methods rely on custom d... View full abstract»

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  • Self-Man 2009 Committees

    Publication Year: 2010, Page(s): xxxi
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  • Metareasoning 2009 Committees

    Publication Year: 2010, Page(s): xxxii
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  • Distributed and Centralized Task Allocation: When and Where to Use Them

    Publication Year: 2010, Page(s):1 - 8
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (222 KB) | HTML iconHTML

    Self-organisation is frequently advocated as the solution for managing large, dynamic systems. Distributed algorithms are implicitly designed for infinitely large problems, while small systems are regarded as being controllable using traditional, centralised approaches. Many real-world systems, however, do not fit conveniently into these “small” or “large” categories, r... View full abstract»

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  • Self-Adaptation Applied to Peer-Set Maintenance in Chord via a Generic Autonomic Management Framework

    Publication Year: 2010, Page(s):9 - 16
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB) | HTML iconHTML

    Self-adaptation can be achieved by autonomic management of facets of a system's constituent components. This paper reports on a generic autonomic management framework and on its application to a key-based routing protocol as used in the peer-to-peer overlay Chord. The framework implements generic components of the autonomic management cycle. In the work reported here it was used to build a manager... View full abstract»

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