Discriminating congestion losses from wireless losses using inter-arrival times at the receiver

Biaz, Saad; Vaidya, Nitin H.

doi:10.1109/asset.1999.756746

Cited by 160 publications

(125 citation statements)

References 9 publications

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“…By effectively setting p w = 0, a Snoop-like module translates the new problem (rate control for streaming over wireless) into an old one (rate control for streaming over a wired network) for which a known solution exists. Similar observations can be made for other solutions such as the end-to-end statistics-based approaches [15][16][17][18][19][20][22][23][24][25][26].…”

Section: A Sufficient and Necessary Condition For Underutilizationsupporting

confidence: 53%

“…End-to-end statistics can be used to help detect congestion when a packet is lost [15][16][17][18][19][20][21][22][23][24][25][26]. For example, by examining trends in the oneway delay variation, Parsa and GarciaLunaAceves [25] interpret loss as a sign of congestion if one-way delays are increasing, and a sign of wireless channel error otherwise.…”

Section: Rate Control For Streaming Video Over Wirelessmentioning

confidence: 99%

“…This implies that if the available bandwidth is larger than the highest sending rate one TFRC can achieve, underutilization happens. In essence, the approaches taken in [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][22][23][24][25][26] ensure that the condition in Eq. 4 is not satisfied through modifications to network infrastructure or protocols.…”

Section: A Sufficient and Necessary Condition For Underutilizationmentioning

confidence: 99%

See 2 more Smart Citations

Rate control for streaming video over wireless

Chen

Zakhor

2005

IEEE Wireless Commun.

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Section: A Sufficient and Necessary Condition For Underutilizationsupporting

confidence: 53%

Section: Rate Control For Streaming Video Over Wirelessmentioning

confidence: 99%

Section: A Sufficient and Necessary Condition For Underutilizationmentioning

confidence: 99%

See 1 more Smart Citation

Rate control for streaming video over wireless

Chen

Zakhor

2005

IEEE Wireless Commun.

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“…The issue of distinguishing between causes of data loss has received significant attention within the context of TCP for hybrid wired/wireless networks (e.g., [5,6,8]). The idea is to distinguish between losses caused by network congestion and losses caused by errors in the wireless link, and to trigger TCP's aggressive congestion control mechanisms only in the case of congestion-induced losses.…”

Section: Related Workmentioning

confidence: 99%

Real Time Classification Mechanism for the Causes of Data Loss And Its Integration Into a High Performance Data Transfer System for Grid Computing

Dickens

2007

Towards Next Generation Grids

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Abstract. The importance of high-performance communication to the success of Grid applications makes it critical to develop communication protocols that can take full advantage of the underlying bandwidth when system conditions permit, can back-off in response to observed (or predicted) contention within the network, and can accurately distinguish between these two situations. Achieving this goal requires the development of classification mechanisms that are both accurate and efficient enough to execute in real time. In this paper, we discuss one such classifier that is based on the analysis of the patterns of packet loss and the application of Bayesian statistics. We describe two different analysis techniques that we apply to such patterns, one based on complexity theory and one based on a simple measure of the distance between successive packet losses. In addition, we discuss the integration of the classification mechanism into the control structures of an existing high-performance data transfer system for computational Grids. We present empirical results showing that the classifier is extremely accurate, efficient enough to execute in real time, and that utilizing the information it provides can have a tremendous impact on the performance of a largescale data transfer.

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“…In [9] Cen et al proposed a hybrid loss discriminator ZBS which uses three loss discriminators: ZigZag [9], Biaz [10], and Spike [11]. ZBS (the name is taken from the first letters of Zigzag, Biaz and Spike) is used at the receiver.…”

Section: Related Workmentioning

confidence: 99%

A Fuzzy based TCP Congestion Control for Wired Networks

Alisa¹,

Qasim²

2014

IJCA

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Since TCP cannot recognize bit error loss event from congestion loss event, it fails to work well in wired networks with large random error rate. In this paper, a modification in TCP Westwood congestion control algorithm is proposed by using a fuzzy controller to enhance its performance in wired networks with high error rate. The number of timeout events and the number of triple duplicate acknowledgement (also called 3dupacks) is counted to measure their ratio as the first input to a fuzzy system so that to differentiate congestion loss from bit error loss. Also the time difference between the last two timeout events is taken as the second input to the fuzzy system to check whether the timeout events are due to congestion or non-congestion event. The delay or RTT (Round Trip Time which is the time from transmitting a segment till receive an acknowledgement) also considered in the fuzzy system as the third input. The proposed TCP Fuzzy is tested using OMNET++ IDE simulator and found that it gives better performance than TCP standards in wired networks when error rate is increased.

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Discriminating congestion losses from wireless losses using inter-arrival times at the receiver

Cited by 160 publications

References 9 publications

Rate control for streaming video over wireless

Rate control for streaming video over wireless

Real Time Classification Mechanism for the Causes of Data Loss And Its Integration Into a High Performance Data Transfer System for Grid Computing

A Fuzzy based TCP Congestion Control for Wired Networks

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