Saad Biaz and Nitin H. Vaidya. Distinguishing congestion and corruption losses: A negative result. Seventh International Conference on Computer Communications and Networks (IC3N), 1998. Home/Search Document Details and Download
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This paper is cited in the following contexts:
End-to-End Inference of Loss Nature in a Hybrid.. - Liu, Matta, Crovella (2003) (5 citations) (Correct)
....its fair share of the channel. Research on improving performance of TCP over hybrid wired wireless paths has focused on differentiating packet losses using information readily available to TCP: congestion window size, inter arrival time between ACK packets, and changes in round trip time (RTT) [8], 6] However, correct classification based on these metrics has been found to be difficult [8] It appears that there is lack of correlation between nature of losses and these observable metrics (RTT, congestion window size, and inter arrival of ACKs) In this paper, we propose a new end to end ....
.... paths has focused on differentiating packet losses using information readily available to TCP: congestion window size, inter arrival time between ACK packets, and changes in round trip time (RTT) 8] 6] However, correct classification based on these metrics has been found to be difficult [8]. It appears that there is lack of correlation between nature of losses and these observable metrics (RTT, congestion window size, and inter arrival of ACKs) In this paper, we propose a new end to end method to classify the nature of packet losses in a hybrid wired wireless environment, i.e. ....
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Saad Biaz and Nitin H. Vaidya. Distinguishing congestion and corruption losses: A negative result. Seventh International Conference on Computer Communications and Networks (IC3N), 1998.
End-to-End Inference of Loss Nature in a Hybrid.. - Liu, Matta, Crovella (2002) (5 citations) (Correct)
....its fair share of the channel. Research on improving performance of TCP over hybrid wired wireless paths has focused on differentiating packet losses using information readily available to TCP: congestion window size, inter arrival time between ACK packets, and changes in round trip time (RTT) [6], 5] However, correct classification based on these metrics has been found to be difficult [6] It appears that there is lack of correlation between the nature of losses and these observable measures (RTT, congestion window size, and inter arrival of ACKs) This work was supported in part by ....
.... paths has focused on differentiating packet losses using information readily available to TCP: congestion window size, inter arrival time between ACK packets, and changes in round trip time (RTT) 6] 5] However, correct classification based on these metrics has been found to be difficult [6]. It appears that there is lack of correlation between the nature of losses and these observable measures (RTT, congestion window size, and inter arrival of ACKs) This work was supported in part by NSF grant ANI 0095988. In this paper, we propose a new end to end method to classify the nature ....
[Article contains additional citation context not shown here]
Saad Biaz and Nitin H. Vaidya. Distinguishing congestion and corruption losses: A negative result.
End-to-End Inference of Loss Nature in a Hybrid.. - Liu, Matta, Crovella (2002) (5 citations) (Correct)
....its fair share of the channel. Research on improving performance of TCP over hybrid wired wireless paths has focused on differentiating packet losses using information readily available to TCP: congestion window size, inter arrival time between ACK packets, and changes in round trip time (RTT) [6], 5] However, correct classification based on these metrics has been found to be difficult [6] It appears that there is lack of correlation between the nature of losses and these observable measures (RTT, congestion window size, and inter arrival of ACKs) This work was supported in part by ....
.... paths has focused on differentiating packet losses using information readily available to TCP: congestion window size, inter arrival time between ACK packets, and changes in round trip time (RTT) 6] 5] However, correct classification based on these metrics has been found to be difficult [6]. It appears that there is lack of correlation between the nature of losses and these observable measures (RTT, congestion window size, and inter arrival of ACKs) This work was supported in part by NSF grant ANI 0095988. In this paper, we propose a new end to end method to classify the nature ....
[Article contains additional citation context not shown here]
Saad Biaz and Nitin H. Vaidya. Distinguishing congestion and corruption losses: A negative result.
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