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    Downstream-based Scheduling for Energy Conservation in Green EPONs

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    1569578635.pdf
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    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Chen, Shen
    Dhaini, Ahmad R.
    Ho, Pin-Han
    Shihada, Basem cc
    Shen, Gangxiang
    Lin, Chih-Hao
    KAUST Department
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Networks Laboratory (NetLab)
    Date
    2012-05-01
    Permanent link to this record
    http://hdl.handle.net/10754/348537
    
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    Abstract
    Maximizing the optical network unit’s (ONU) sleep time is an effective approach for achieving maximum energy conservation in green Ethernet passive optical networks (EPONs). While overlapping downstream and upstream ONU transmissions can maximize the ONU sleep time, it jeopardizes the quality of service (QoS) performance of the network, especially for downstream traffic in case the overlapping is based on the upstream time slot. In this paper, we study the downstream traffic performance in green EPONs under the limited service discipline and the upstream-based overlapped time window. Specifically, we first derive the expected mean packet delay, and then present a closed-form expression of the ONU sleep time, setting identical upstream/downstream transmission cycle times based on a maximum downstream traffic delay re-quirement. With the proposed system model, we present a novel downstream bandwidth allocation scheme for energy conservation in green EPONs. Simulation results verify the proposed model and highlight the advantages of our scheme over conventional approaches.
    Citation
    Downstream-based Scheduling for Energy Conservation in Green EPONs 2012, 7 (5) Journal of Communications
    Publisher
    Engineering and Technology Publishing
    Journal
    Journal of Communications
    DOI
    10.4304/jcm.7.5.400-408
    Additional Links
    http://www.jocm.us/index.php?m=content&c=index&a=show&catid=37&id=76
    ae974a485f413a2113503eed53cd6c53
    10.4304/jcm.7.5.400-408
    Scopus Count
    Collections
    Articles; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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