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    On the performance of online and offline green path establishment techniques

    239029_239029.pdf (1.507Mb)
    Access Status
    Open access
    Authors
    Ruiz-Rivera, A.
    Chin, K.
    Soh, Sie Teng
    Raad, R.
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Ruiz-Rivera, A. and Chin, K. and Soh, S.T. and Raad, R. 2015. On the performance of online and offline green path establishment techniques. EURASIP Journal on Wireless Communications and Networking. 2015: 193.
    Source Title
    Eurasip Journal on Wireless Communications and Networking
    DOI
    10.1186/s13638-015-0417-z
    ISSN
    1687-1472
    School
    Department of Computing
    Remarks

    This open access article is distributed under the Creative Commons license http://creativecommons.org/licenses/by/4.0/

    URI
    http://hdl.handle.net/20.500.11937/42834
    Collection
    • Curtin Research Publications
    Abstract

    © 2015, Ruiz-Rivera et al. To date, significant effort has gone into designing green traffic engineering (TE) techniques that consolidate traffic onto the minimal number of links/switches/routers during off-peak periods. However, little works exist that aim to green Multi-Protocol Label Switching (MPLS) capable networks. Critically, no work has studied the performance of green label switched paths (LSPs) establishment methods in terms of energy savings and acceptance rates. Henceforth, we add to the current state-of-the-art by studying green online and offline (LSP) establishment methods. Online methods rely only on past and current LSP requests while offline ones act as a theoretical benchmark whereby they also have available to them future LSP requests. We introduce a novel metric that takes into account both energy savings and acceptance rates. We also identify a new simpler heuristic that minimizes energy use by routing source–destination demands over paths that contain established links and require the fewest number of new links. Our evaluation of two offline and four online LSP establishment methods over the Abilene and AT&T topologies with random LSP setup requests show that energy savings beyond 20 % are achievable with LSP acceptance rates above 90 %.

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