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    A novel implementation of TCP Vegas for optical burst switched networks

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    OSN10-Vegas.pdf
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    Format:
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    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Shihada, Basem cc
    Zhang, Qiong
    Ho, Pin-Han
    Jue, Jason P.
    KAUST Department
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Networks Laboratory (NetLab)
    Date
    2010-07
    Permanent link to this record
    http://hdl.handle.net/10754/348501
    
    Metadata
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    Abstract
    TCP performance over bufferless Optical Burst Switched (OBS) networks could be significantly degraded due to the misinterpretation of network congestion status (referred to as false congestion detection). It has been reported that burst retransmission in the OBS domain can improve the TCP throughput by hiding burst loss events from the upper TCP layer, which can effectively reduce the congestion window fluctuation at the expense of introducing additional delay. However, the additional delay may cause performance degradation for delay-based TCP implementations that are sensitive to packet round trip time in estimating the network congestion status. In this paper, a novel implementation of TCP Vegas that adopts a threshold-based mechanism is proposed for identifying the network congestion status in OBS networks. Analytical models are developed to evaluate the throughput of conventional TCP Vegas and threshold-based Vegas over OBS networks with burst retransmission. Simulation is conducted to validate the analytical model and to compare threshold-based Vegas with a number of legacy TCP implementations, such as TCP Sack and TCP Reno. The analytical model can be used to obtain a proper threshold value that results in an optimal steady state TCP throughput.
    Citation
    A novel implementation of TCP Vegas for optical burst switched networks 2010, 7 (3):115 Optical Switching and Networking
    Publisher
    Elsevier BV
    Journal
    Optical Switching and Networking
    DOI
    10.1016/j.osn.2010.04.002
    Additional Links
    http://linkinghub.elsevier.com/retrieve/pii/S1573427710000172
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.osn.2010.04.002
    Scopus Count
    Collections
    Articles; Computer Science Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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