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Author: search.filters.author.Bakshi, S.Subject: search.filters.subject.ns-3

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    Recent acknowledgement support for ns-3 TCP
    (Association for Computing Machinery, 2019) Bakshi, S.; Tahiliani, M.P.
    Recent Acknowledgement (RACK) is a TCP packet loss detection technique proposed by Google. It uses the notion of time to detect packet losses instead of packet or sequence counting approaches like Fast Retransmit and other non-standard techniques. RACK algorithm is described in an Internet Draft in the TCP Maintenance Working Group (tcpm) at IETF and is the de facto loss detection technique since Linux 4.4. However, to the best of our knowledge, there does not exist a model to study RACK using network simulators. Network simulations provide flexibility to extensively evaluate the upcoming network protocols without resorting to complex real-time experiments. In this paper, we propose the design, implementation and validation of a new model for RACK in ns-3. We evaluate RACK by comparing its performance with Fast Retransmit and verify that the model in ns-3 exhibits key attributes of RACK. © 2019 ACM.
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    Linux-like Loss Detection Techniques for ns-3 TCP
    (Institute of Electrical and Electronics Engineers Inc., 2019) Bakshi, S.; Sahoo, A.P.; Keerthana, P.; Bhalekar, D.; Tahiliani, M.P.
    Recent Acknowledgment (RACK) is a new loss detection technique for TCP proposed by Google and described in an Internet Draft in TCP Maintenance Working Group (tcpm) of IETF. It is the default loss detection technique in Linux kernel. RACK internally uses Forward Acknowledgement (FACK) and Duplicate Selective Acknowledgement (DSACK) loss detection techniques, and leverages the benefits of Tail Loss Probe (TLP). This paper describes the implementation and evaluation of FACK, DSACK and TLP loss detection techniques for TCP model in ns-3. The goal is to provision prerequisite loss detection techniques in ns-3 for implementing RACK. The implementation of FACK, DSACK and TLP in Linux is used as a reference for this work. Our implementation of these techniques in ns-3 is verified by evaluating their performance in respective scenarios and ensuring that they exhibit their key characteristics. © 2019 IEEE.