Packet Loss Estimation of TCP Flows Based on the Delayed ACK Mechanism

Wu, Hua; Gong, Jian

doi:10.1007/978-3-642-04492-2_72

Cited by 6 publications

(8 citation statements)

References 2 publications

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“…According to equation (11), the key to obtain N invisible lies in determining N rts . To this end, we leverage the conclusion in [49] to approximate N rts . For illustrative purposes, we introduce the following metric:…”

Section: Definition 5: (Overlapped Hole)mentioning

confidence: 99%

Strengthening Packet Loss Measurement from the Network Intermediate Point

Lan¹,

Ding²,

Zhang³

2019

KSII TIIS

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Estimating loss rates with the packet traces captured from some point in the middle of the network has received much attention within the research community. Meanwhile, existing intermediate-point methods like [1] require the capturing system to capture all the TCP traffic that crosses the border of an access network (typically Gigabit network) destined to or coming from the Internet. However, limited to the performance of current hardware and software, capturing network traffic in a Gigabit environment is still a challenging task. The uncaptured packets will affect the total number of captured packets and the estimated number of packet losses, which eventually affects the accuracy of the estimated loss rate. Therefore, to obtain more accurate loss rate, a method of strengthening packet loss measurement from the network intermediate point is proposed in this paper. Through constructing a series of heuristic rules and leveraging the binomial distribution principle, the proposed method realizes the compensation for the estimated loss rate. Also, experiment results show that although there is no increase in the proportion of accurate estimates, the compensation makes the majority of estimates closer to the accurate ones.

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Section: Definition 5: (Overlapped Hole)mentioning

confidence: 99%

Strengthening Packet Loss Measurement from the Network Intermediate Point

Lan¹,

Ding²,

Zhang³

2019

KSII TIIS

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“…Packet loss measurement of TCP has been studied in a number of works [15,16,17]. Sommers et al [15], Wu et al [16] predict the packet loss rate with implementations in routers where they can acquire the low level sequence and acknowledge numbers of the TCP/IP stack which cannot be obtained by applications.…”

Section: Related Workmentioning

confidence: 99%

“…Sommers et al [15], Wu et al [16] predict the packet loss rate with implementations in routers where they can acquire the low level sequence and acknowledge numbers of the TCP/IP stack which cannot be obtained by applications. Basso et al [17] provide a application layer estimation on packet loss rate.…”

Section: Related Workmentioning

confidence: 99%

Data-Driven Packet Loss Estimation for Node Healthy Sensing in Decentralized Cluster

Fan

Wang

Yong

2018

Sensors

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Decentralized clustering of modern information technology is widely adopted in various fields these years. One of the main reason is the features of high availability and the failure-tolerance which can prevent the entire system form broking down by a failure of a single point. Recently, toolkits such as Akka are used by the public commonly to easily build such kind of cluster. However, clusters of such kind that use Gossip as their membership managing protocol and use link failure detecting mechanism to detect link failures cannot deal with the scenario that a node stochastically drops packets and corrupts the member status of the cluster. In this paper, we formulate the problem to be evaluating the link quality and finding a max clique (NP-Complete) in the connectivity graph. We then proposed an algorithm that consists of two models driven by data from application layer to respectively solving these two problems. Through simulations with statistical data and a real-world product, we demonstrate that our algorithm has a good performance.

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“…In addition, H. Wu et al proposed a packet loss estimation of TCP flows based on delayed ACK but considered only TCP [10]. On the contrary, B. H. S. Abeysekera et al analyzed delayed ACK in terms of MAC without considering transport layer in order to consider a fairness issue between uplink and downlink flows in IEEE 802.11 [11].…”

Section: B Related Workmentioning

confidence: 99%

Cross-layer modeling and analysis on delayed ACK in IEEE 802.11

Lee

Kim

2015

2015 Seventh International Conference on Ubiquitous and Future Networks

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The general size of ACK packets which are essential components for reliable communications is relatively small in comparison with that of data packets. However, transmissions of ACK packets and data packets require the same amount of communication resource in terms of MAC, and the increase in the number of ACK packets reduces opportunities for the transmissions of data packets. Therefore, delayed ACK was proposed to reduce the number of ACK packets, and the receiver can send fewer ACK packets to the sender by using delayed ACK. On the contrary, in terms of transport layer, ACK packets have an important role of not only the notification of data reception but also increasing the size of sender's congestion window. Thus, the decrease in the number of ACK packets may be a serious impediment to the fast increase in the sender's congestion window. Consequently, a comprehensive cross-layer approach is essential to analyze the effect of delayed ACK in IEEE 802.11. In this paper, we conduct the modeling and the analysis on delayed ACK using the cross-layer approach and verify the modeling and the analysis through simulations. Based on the result of them, we present the direction for decision of optimal delayed ACK maximum count to maximize the performance of communications and network.

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Packet Loss Estimation of TCP Flows Based on the Delayed ACK Mechanism

Cited by 6 publications

References 2 publications

Strengthening Packet Loss Measurement from the Network Intermediate Point

Strengthening Packet Loss Measurement from the Network Intermediate Point

Data-Driven Packet Loss Estimation for Node Healthy Sensing in Decentralized Cluster

Cross-layer modeling and analysis on delayed ACK in IEEE 802.11

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