An improved preference method for the FAST TCP protocol parameter

When a source end adopted FAST TCP to actively control the sending window, and the link end adopted active queue management algorithm, if the network parameters were improperly set, the system can be unstable. The relationship between the stability and network parameters was quantitatively analyzed. Aiming at the defect of network instability caused by radical window halving strategy, a new method based on stability analysis was proposed to make full use of the historical change information obtained by the source-end and to improve the window adjusting strategy of FAST TCP protocol according to the congestion status. Thus, the parameters of the active queue controller was modified indirectly to improve the stability of the system. Ns-2 simulation result verified the accuracy of the stability theory analysis and the effectiveness of the improvement strategy.

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An Improved Algorithm to Enhance the Performance of FAST TCP Congestion Control for Personalized Healthcare Systems

Wireless Communications and Mobile Computing ◽

10.1155/2021/9947883 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Jiyang Ye ◽

Bowen Huang ◽

Xiaolong Chen

Keyword(s):

Control Law ◽

Network System ◽

Improved Method ◽

Medical Systems ◽

Queuing Delay ◽

Slow Start ◽

Fast Tcp ◽

Tcp Protocol ◽

Tcp Network ◽

The Stability

The development of personalized medical systems should be supported by a fast and stable network system. The FAST TCP network system is the appropriate support system for this purpose. However, when the FAST TCP is deployed, the static mapping selection method for protocol parameters is unable to guarantee the small queuing delay and fast convergence of the network simultaneously. By conducting theoretical analysis and simulation experiments, the relationships among FAST TCP protocol slow start condition, control law gain parameters, and FAST TCP system convergence rate were examined. To ensure the stability of the FAST TCP system and to select the smallest protocol parameters, an improved method to effectively accelerate the convergence velocity of the FAST TCP system is proposed in this study. In this method, the number of packets for staying in the buffer for FAST TCP connections was taken as the criterion of the slow start, and the gain parameter of the control law was dynamically adjusted according to the local information of each FAST TCP connection. Using this improved method, the FAST TCP system can achieve a stable and small queuing delay, whilst the FAST TCP system could converge quickly to the equilibrium point simultaneously.

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Cross-Protocol Unfairness between Adaptive Streaming Clients over HTTP/3 and HTTP/2: A Root-Cause Analysis

Electronics ◽

10.3390/electronics10151755 ◽

2021 ◽

Vol 10 (15) ◽

pp. 1755

Author(s):

Chanh Minh Tran ◽

Tho Nguyen Duc ◽

Phan Xuan Tan ◽

Eiji Kamioka

Keyword(s):

Root Cause Analysis ◽

Transport Layer ◽

Control Mechanisms ◽

Adaptive Streaming ◽

The Novel ◽

Cause Analysis ◽

Root Cause ◽

Tcp Protocol ◽

The Cross ◽

Client Side

With the introduction of HTTP/3, whose transport is no longer the traditional TCP protocol but the novel QUIC protocol, research for solutions to the unfairness of Adaptive Streaming over HTTP (HAS) has become more challenging. In other words, because of different transport layers, the HTTP/3 may not be available for some networks and the clients have to use HTTP/2 for their HAS applications instead. Therefore, the scenario in which HAS over HTTP/3 (HAS/3) competes against HTTP/2 (HAS/2) must be considered seriously. However, there has been a shortage of investigations on the performance and the origin of the unfairness in such a cross-protocol scenario in order to produce proper solutions. Therefore, this paper provides a performance evaluation and root-cause analysis of the cross-protocol unfairness between HAS/3 and HAS/2. It is concluded that, due to differences in the congestion control mechanisms of QUIC and TCP, HAS/3 clients obtain larger congestion windows, thus requesting higher video bitrates than HAS/2. As the problem lies in the transport layer, existing client-side ABR-based solutions for the unfairness from the application layer may perform suboptimally for the cross-protocol case.

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Parameter gamma Conditions for Stability of FAST TCP

2009 5th International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2009.5302913 ◽

2009 ◽

Author(s):

Wei Liang ◽

Shunyi Zhang ◽

Xiangyan Ning ◽

Yanfei Sun ◽

Jinyi Chang

Keyword(s):

Fast Tcp

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TCP Protocol

Communication Protocols ◽

10.1007/978-3-030-50405-2_21 ◽

2020 ◽

pp. 325-335

Author(s):

Drago Hercog

Keyword(s):

Tcp Protocol

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Development of an Industrial Data Server for Modbus TCP Protocol

Advances in Intelligent Systems and Computing - Advances in Emerging Trends and Technologies ◽

10.1007/978-3-030-63665-4_2 ◽

2020 ◽

pp. 16-28

Author(s):

Violeta Maldonado ◽

Silvana Gamboa ◽

María Fernanda Trujillo ◽

Ana Rodas

Keyword(s):

Industrial Data ◽

Tcp Protocol

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Federated learning over WiFi: Should we use TCP or UDP?

10.31219/osf.io/tuz6c ◽

2021 ◽

Author(s):

Vineeth S

Keyword(s):

Packet Loss ◽

Distributed Learning ◽

Learning Paradigm ◽

Limited Bandwidth ◽

Tcp Protocol ◽

Network Connections ◽

Model Aggregation ◽

Centralized Model

Federated learning is a distributed learning paradigm where a centralized model is trained on data distributed over a large number of clients, each with unreliable and relatively slow network connections. The client connections typically have limited bandwidth available to them when using networks such as 2G, 3G, or WiFi. As a result, communication often becomes a bottleneck. Currently, the communication between the clients and server is mostly based on TCP protocol. In this paper, we explore using the UDP protocol for the communication between the clients and server. In particular, we develop UDP-based algorithms for gradient aggregation-based federated learning and model aggregation-based federated learning. We propose methods to construct model updates in case of packet loss with the UDP protocol. We present a scalable framework for practical federated learning. We conduct experiments over WiFi and observe that the UDP-based protocols can lead to faster convergence than the TCP-based protocol -- especially in bad networks. Code available at the repository: \url{https://github.com/vineeths96/Federated-Learning}.

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ANALYSIS OF STATISTICAL DEPENDENCES OF VOICE DATA QUALITY CHARACTERISTICS IN TRAFFIC OF IP-NETWORKS

Bulletin of Bryansk state technical university ◽

10.30987/article_5d10852029ec46.45558801 ◽

2019 ◽

Vol 2019 (6) ◽

pp. 92-97

Author(s):

Кирилл Батенков ◽

Kirill Batenkov ◽

Александр Королев ◽

Aleksandr Korolev ◽

Михаил Илюшин ◽

...

Keyword(s):

Quality Parameters ◽

Quality Parameter ◽

Statistical Characteristics ◽

Tcp Protocol ◽

Service Information ◽

Ip Network ◽

Standard Quality ◽

Voice Message ◽

Voice Data

The aim of the work is to investigate statistical characteristics of multimedia services traffic of IP-network on the basis of the service information analysis of package headings. The investigation method is mathematical mod-eling in the Mathcad 14 environment. As a result of the investigations, a mathematical apparatus allowing the fulfillment of a point and interval assessment of separate constituents of voice messaging quality and also the decisionmaking regarding the satisfaction degree by users with the service offered. In the work on the basis of measurements with the aid of the Wireshark program and the TCP protocol there are carried out the investigations of permissible fields in a quality parameter variation of voice message perception. A stochastic tie is revealed between transfer standard quality parameters by means of plotting diagrams and histograms of the assessments of these parameters mutual impact. The most significant indices of transfer quality parameters form the standpoint of their impact upon quality of voice message perception are RTT indices and loss factors.

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