TCP Congestion Control Scheme for Wireless Networks Based on TCP Reserved Field and SNR Ratio
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Traffic Management in Multi-Service Access Networks
MARKETING REPORT MR-404 Traffic Management in Multi-Service Access Networks Issue: 01 Issue Date: September 2017 © The Broadband Forum. All rights reserved. Traffic Management in Multi-Service Access Networks MR-404 Issue History Issue Approval date Publication Date Issue Editor Changes Number 01 4 September 2017 13 October 2017 Christele Bouchat, Original Nokia Comments or questions about this Broadband Forum Marketing Draft should be directed to [email protected] Editors Francois Fredricx Nokia [email protected] Florian Damas Nokia [email protected] Ing-Jyh Tsang Nokia [email protected] Innovation Christele Bouchat Nokia [email protected] Leadership Mauro Tilocca Telecom Italia [email protected] September 2017 © The Broadband Forum. All rights reserved 2 of 16 Traffic Management in Multi-Service Access Networks MR-404 Executive Summary Traffic Management is a widespread industry practice for ensuring that networks operate efficiently, including mechanisms such as queueing, routing, restricting or rationing certain traffic on a network, and/or giving priority to some types of traffic under certain network conditions, or at all times. The goal is to minimize the impact of congestion in networks on the traffic’s Quality of Service. It can be used to achieve certain performance goals, and its careful application can ultimately improve the quality of an end user's experience in a technically and economically sound way, without detracting from the experience of others. Several Traffic Management mechanisms are vital for a functioning Internet carrying all sorts of Over-the-Top (OTT) applications in “Best Effort” mode. Another set of Traffic Management mechanisms is also used in networks involved in a multi-service context, to provide differentiated treatment of various services (e.g. -
Analysing TCP Performance When Link Experiencing Packet Loss
Analysing TCP performance when link experiencing packet loss Master of Science Thesis [in the Programme Networks and Distributed System] SHAHRIN CHOWDHURY KANIZ FATEMA Chalmers University of Technology University of Gothenburg Department of Computer Science and Engineering Göteborg, Sweden, October 2013 The Author grants to Chalmers University of Technology and University of Gothenburg the non-exclusive right to publish the Work electronically and in a non-commercial purpose make it accessible on the Internet. The Author warrants that he/she is the author to the Work, and warrants that the Work does not contain text, pictures or other material that violates copyright law. The Author shall, when transferring the rights of the Work to a third party (for example a publisher or a company), acknowledge the third party about this agreement. If the Author has signed a copyright agreement with a third party regarding the Work, the Author warrants hereby that he/she has obtained any necessary permission from this third party to let Chalmers University of Technology and University of Gothenburg store the Work electronically and make it accessible on the Internet. Analysing TCP performance when link experiencing packet loss SHAHRIN CHOWDHURY, KANIZ FATEMA © SHAHRIN CHOWDHURY, October 2013. © KANIZ FATEMA, October 2013. Examiner: TOMAS OLOVSSON Chalmers University of Technology University of Gothenburg Department of Computer Science and Engineering SE-412 96 Göteborg Sweden Telephone + 46 (0)31-772 1000 Department of Computer Science and Engineering Göteborg, Sweden October 2013 Acknowledgement We are grateful to our supervisor and examiner Tomas Olovsson for his valuable time and assistance in compilation for this thesis. -
Application Note Pre-Deployment and Network Readiness Assessment Is
Application Note Contents Title Six Steps To Getting Your Network Overview.......................................................... 1 Ready For Voice Over IP Pre-Deployment and Network Readiness Assessment Is Essential ..................... 1 Date January 2005 Types of VoIP Overview Performance Problems ...... ............................. 1 This Application Note provides enterprise network managers with a six step methodology, including pre- Six Steps To Getting deployment testing and network readiness assessment, Your Network Ready For VoIP ........................ 2 to follow when preparing their network for Voice over Deploy Network In Stages ................................. 7 IP service. Designed to help alleviate or significantly reduce call quality and network performance related Summary .......................................................... 7 problems, this document also includes useful problem descriptions and other information essential for successful VoIP deployment. Pre-Deployment and Network IP Telephony: IP Network Problems, Equipment Readiness Assessment Is Essential Configuration and Signaling Problems and Analog/ TDM Interface Problems. IP Telephony is very different from conventional data applications in that call quality IP Network Problems: is especially sensitive to IP network impairments. Existing network and “traditional” call quality Jitter -- Variation in packet transmission problems become much more obvious with time that leads to packets being the deployment of VoIP service. For network discarded in VoIP -
TCP Congestion Control: Overview and Survey of Ongoing Research
Purdue University Purdue e-Pubs Department of Computer Science Technical Reports Department of Computer Science 2001 TCP Congestion Control: Overview and Survey Of Ongoing Research Sonia Fahmy Purdue University, [email protected] Tapan Prem Karwa Report Number: 01-016 Fahmy, Sonia and Karwa, Tapan Prem, "TCP Congestion Control: Overview and Survey Of Ongoing Research" (2001). Department of Computer Science Technical Reports. Paper 1513. https://docs.lib.purdue.edu/cstech/1513 This document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact [email protected] for additional information. TCP CONGESTION CONTROL: OVERVIEW AND SURVEY OF ONGOING RESEARCH Sonia Fahmy Tapan Prem Karwa Department of Computer Sciences Purdue University West Lafayette, IN 47907 CSD TR #01-016 September 2001 TCP Congestion Control: Overview and Survey ofOngoing Research Sonia Fahmy and Tapan Prem Karwa Department ofComputer Sciences 1398 Computer Science Building Purdue University West Lafayette, IN 47907-1398 E-mail: {fahmy,tpk}@cs.purdue.edu Abstract This paper studies the dynamics and performance of the various TCP variants including TCP Tahoe, Reno, NewReno, SACK, FACK, and Vegas. The paper also summarizes recent work at the lETF on TCP im plementation, and TCP adaptations to different link characteristics, such as TCP over satellites and over wireless links. 1 Introduction The Transmission Control Protocol (TCP) is a reliable connection-oriented stream protocol in the Internet Protocol suite. A TCP connection is like a virtual circuit between two computers, conceptually very much like a telephone connection. To maintain this virtual circuit, TCP at each end needs to store information on the current status of the connection, e.g., the last byte sent. -
Latency and Throughput Optimization in Modern Networks: a Comprehensive Survey Amir Mirzaeinnia, Mehdi Mirzaeinia, and Abdelmounaam Rezgui
READY TO SUBMIT TO IEEE COMMUNICATIONS SURVEYS & TUTORIALS JOURNAL 1 Latency and Throughput Optimization in Modern Networks: A Comprehensive Survey Amir Mirzaeinnia, Mehdi Mirzaeinia, and Abdelmounaam Rezgui Abstract—Modern applications are highly sensitive to com- On one hand every user likes to send and receive their munication delays and throughput. This paper surveys major data as quickly as possible. On the other hand the network attempts on reducing latency and increasing the throughput. infrastructure that connects users has limited capacities and These methods are surveyed on different networks and surrond- ings such as wired networks, wireless networks, application layer these are usually shared among users. There are some tech- transport control, Remote Direct Memory Access, and machine nologies that dedicate their resources to some users but they learning based transport control, are not very much commonly used. The reason is that although Index Terms—Rate and Congestion Control , Internet, Data dedicated resources are more secure they are more expensive Center, 5G, Cellular Networks, Remote Direct Memory Access, to implement. Sharing a physical channel among multiple Named Data Network, Machine Learning transmitters needs a technique to control their rate in proper time. The very first congestion network collapse was observed and reported by Van Jacobson in 1986. This caused about a I. INTRODUCTION thousand time rate reduction from 32kbps to 40bps [3] which Recent applications such as Virtual Reality (VR), au- is about a thousand times rate reduction. Since then very tonomous cars or aerial vehicles, and telehealth need high different variations of the Transport Control Protocol (TCP) throughput and low latency communication. -
Lab 6: Understanding Traditional TCP Congestion Control (HTCP, Cubic, Reno)
NETWORK TOOLS AND PROTOCOLS Lab 6: Understanding Traditional TCP Congestion Control (HTCP, Cubic, Reno) Document Version: 06-14-2019 Award 1829698 “CyberTraining CIP: Cyberinfrastructure Expertise on High-throughput Networks for Big Science Data Transfers” Lab 6: Understanding Traditional TCP Congestion Control Contents Overview ............................................................................................................................. 3 Objectives............................................................................................................................ 3 Lab settings ......................................................................................................................... 3 Lab roadmap ....................................................................................................................... 3 1 Introduction to TCP ..................................................................................................... 3 1.1 TCP review ............................................................................................................ 4 1.2 TCP throughput .................................................................................................... 4 1.3 TCP packet loss event ........................................................................................... 5 1.4 Impact of packet loss in high-latency networks ................................................... 6 2 Lab topology............................................................................................................... -
A QUIC Implementation for Ns-3
This paper has been submitted to WNS3 2019. Copyright may be transferred without notice. A QUIC Implementation for ns-3 Alvise De Biasio, Federico Chiariotti, Michele Polese, Andrea Zanella, Michele Zorzi Department of Information Engineering, University of Padova, Padova, Italy e-mail: {debiasio, chiariot, polesemi, zanella, zorzi}@dei.unipd.it ABSTRACT One of the most important novelties is QUIC, a transport pro- Quick UDP Internet Connections (QUIC) is a recently proposed tocol implemented at the application layer, originally proposed by transport protocol, currently being standardized by the Internet Google [8] and currently considered for standardization by the Engineering Task Force (IETF). It aims at overcoming some of the Internet Engineering Task Force (IETF) [6]. QUIC addresses some shortcomings of TCP, while maintaining the logic related to flow of the issues that currently affect transport protocols, and TCP in and congestion control, retransmissions and acknowledgments. It particular. First of all, it is designed to be deployed on top of UDP supports multiplexing of multiple application layer streams in the to avoid any issue with middleboxes in the network that do not same connection, a more refined selective acknowledgment scheme, forward packets from protocols other than TCP and/or UDP [12]. and low-latency connection establishment. It also integrates cryp- Moreover, unlike TCP, QUIC is not integrated in the kernel of the tographic functionalities in the protocol design. Moreover, QUIC is Operating Systems (OSs), but resides in user space, so that changes deployed at the application layer, and encapsulates its packets in in the protocol implementation will not require OS updates. Finally, UDP datagrams. -
Adaptive Method for Packet Loss Types in Iot: an Naive Bayes Distinguisher
electronics Article Adaptive Method for Packet Loss Types in IoT: An Naive Bayes Distinguisher Yating Chen , Lingyun Lu *, Xiaohan Yu * and Xiang Li School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China; [email protected] (Y.C.); [email protected] (X.L.) * Correspondence: [email protected] (L.L.); [email protected] (X.Y.) Received: 31 December 2018; Accepted: 23 January 2019; Published: 28 January 2019 Abstract: With the rapid development of IoT (Internet of Things), massive data is delivered through trillions of interconnected smart devices. The heterogeneous networks trigger frequently the congestion and influence indirectly the application of IoT. The traditional TCP will highly possible to be reformed supporting the IoT. In this paper, we find the different characteristics of packet loss in hybrid wireless and wired channels, and develop a novel congestion control called NB-TCP (Naive Bayesian) in IoT. NB-TCP constructs a Naive Bayesian distinguisher model, which can capture the packet loss state and effectively classify the packet loss types from the wireless or the wired. More importantly, it cannot cause too much load on the network, but has fast classification speed, high accuracy and stability. Simulation results using NS2 show that NB-TCP achieves up to 0.95 classification accuracy and achieves good throughput, fairness and friendliness in the hybrid network. Keywords: Internet of Things; wired/wireless hybrid network; TCP; naive bayesian model 1. Introduction The Internet of Things (IoT) is a new network industry based on Internet, mobile communication networks and other technologies, which has wide applications in industrial production, intelligent transportation, environmental monitoring and smart homes. -
A Comparison of Voip Performance on Ipv6 and Ipv4 Networks
A Comparison of VoIP Performance on IPv6 and IPv4 Networks Roman Yasinovskyy, Alexander L. Wijesinha, Ramesh K. Karne, and Gholam Khaksari Towson University increasingly used on the Internet today. The increase Abstract—We compare VoIP performance on IPv6 in IPv6 packet size due to the larger addresses is and IPv4 LANs in the presence of varying levels of partly offset by a streamlined header with optional background UDP traffic. A conventional softphone is extension headers (the header fields in IPv4 for used to make calls and a bare PC (operating system- fragmentation support and checksum are eliminated less) softphone is used as a control to determine the impact of system overhead. The performance measures in IPv6). are maximum and mean delta (the time between the As the growing popularity of VoIP will make it a arrival of voice packets), maximum and mean jitter, significant component of traffic in the future Internet, packet loss, MOS (Mean Opinion Score), and it is of interest to compare VoIP performance over throughput. We also determine the relative frequency IPv6 and IPv4. The results would help to determine if distribution for delta. It is found that mean values of there are any differences in VoIP performance over delta for IPv4 and IPv6 are similar although maximum values are much higher than the mean and show more IPv6 compared to IPv4 due to overhead resulting variability at higher levels of background traffic. The from the larger IPv6 header (and packet size). We maximum jitter for IPv6 is slightly higher than for IPv4 focus on comparing VoIP performance with IPv6 and but mean jitter values are approximately the same. -
Congestion Control Overview
ELEC3030 (EL336) Computer Networks S Chen Congestion Control Overview • Problem: When too many packets are transmitted through a network, congestion occurs At very high traffic, performance collapses Perfect completely, and almost no packets are delivered Maximum carrying capacity of subnet • Causes: bursty nature of traffic is the root Desirable cause → When part of the network no longer can cope a sudden increase of traffic, congestion Congested builds upon. Other factors, such as lack of Packets delivered bandwidth, ill-configuration and slow routers can also bring up congestion Packets sent • Solution: congestion control, and two basic approaches – Open-loop: try to prevent congestion occurring by good design – Closed-loop: monitor the system to detect congestion, pass this information to where action can be taken, and adjust system operation to correct the problem (detect, feedback and correct) • Differences between congestion control and flow control: – Congestion control try to make sure subnet can carry offered traffic, a global issue involving all the hosts and routers. It can be open-loop based or involving feedback – Flow control is related to point-to-point traffic between given sender and receiver, it always involves direct feedback from receiver to sender 119 ELEC3030 (EL336) Computer Networks S Chen Open-Loop Congestion Control • Prevention: Different policies at various layers can affect congestion, and these are summarised in the table • e.g. retransmission policy at data link layer Transport Retransmission policy • Out-of-order caching -
An Experimental Evaluation of Low Latency Congestion Control for Mmwave Links
An Experimental Evaluation of Low Latency Congestion Control for mmWave Links Ashutosh Srivastava, Fraida Fund, Shivendra S. Panwar Department of Electrical and Computer Engineering, NYU Tandon School of Engineering Emails: fashusri, ffund, [email protected] Abstract—Applications that require extremely low latency are −40 expected to be a major driver of 5G and WLAN networks that −45 include millimeter wave (mmWave) links. However, mmWave −50 links can experience frequent, sudden changes in link capacity −55 due to obstructions in the signal path. These dramatic variations RSSI (dBm) in link capacity cause a temporary “bufferbloat” condition −60 0 25 50 75 100 during which delay may increase by a factor of 2-10. Low Time (s) latency congestion control protocols, which manage bufferbloat Fig. 1: Effect of human blocker on received signal strength of by minimizing queue occupancy, represent a potential solution a 60 GHz WLAN link. to this problem, however their behavior over links with dramatic variations in capacity is not well understood. In this paper, we explore the behavior of two major low latency congestion control protocols, TCP BBR and TCP Prague (as part of L4S), using link Link rate: 5 packets/ms traces collected over mmWave links under various conditions. 1ms queuing delay Our evaluation reveals potential problems associated with use of these congestion control protocols for low latency applications over mmWave links. Link rate: 1 packet/ms Index Terms—congestion control, low latency, millimeter wave 5ms queuing delay Fig. 2: Illustration of effect of variations in link capacity on I. INTRODUCTION queueing delay. Low latency applications are envisioned to play a significant role in the long-term growth and economic impact of 5G This effect is of great concern to low-delay applications, and future WLAN networks [1]. -
The Effects of Different Congestion Control Algorithms Over Multipath Fast Ethernet Ipv4/Ipv6 Environments
Proceedings of the 11th International Conference on Applied Informatics Eger, Hungary, January 29–31, 2020, published at http://ceur-ws.org The Effects of Different Congestion Control Algorithms over Multipath Fast Ethernet IPv4/IPv6 Environments Szabolcs Szilágyi, Imre Bordán Faculty of Informatics, University of Debrecen, Hungary [email protected] [email protected] Abstract The TCP has been in use since the seventies and has later become the predominant protocol of the internet for reliable data transfer. Numerous TCP versions has seen the light of day (e.g. TCP Cubic, Highspeed, Illinois, Reno, Scalable, Vegas, Veno, etc.), which in effect differ from each other in the algorithms used for detecting network congestion. On the other hand, the development of multipath communication tech- nologies is one today’s relevant research fields. What better proof of this, than that of the MPTCP (Multipath TCP) being integrated into multiple operating systems shortly after its standardization. The MPTCP proves to be very effective for multipath TCP-based data transfer; however, its main drawback is the lack of support for multipath com- munication over UDP, which can be important when forwarding multimedia traffic. The MPT-GRE software developed at the Faculty of Informatics, University of Debrecen, supports operation over both transfer protocols. In this paper, we examine the effects of different TCP congestion control mechanisms on the MPTCP and the MPT-GRE multipath communication technologies. Keywords: congestion control, multipath communication, MPTCP, MPT- GRE, transport protocols. 1. Introduction In 1974, the TCP was defined in RFC 675 under the Transmission Control Pro- gram name. Later, the Transmission Control Program was split into two modular Copyright © 2020 for this paper by its authors.