A Compound TCP Approach for High-Speed and Long Distance Networks
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Modeling and Performance Evaluation of LTE Networks with Different TCP Variants Ghassan A
World Academy of Science, Engineering and Technology International Journal of Electronics and Communication Engineering Vol:5, No:3, 2011 Modeling and Performance Evaluation of LTE Networks with Different TCP Variants Ghassan A. Abed, Mahamod Ismail, and Kasmiran Jumari Abstract—Long Term Evolution (LTE) is a 4G wireless Comparing the performance of 3G and its evolution to LTE, broadband technology developed by the Third Generation LTE does not offer anything unique to improve spectral Partnership Project (3GPP) release 8, and it's represent the efficiency, i.e. bps/Hz. LTE improves system performance by competitiveness of Universal Mobile Telecommunications System using wider bandwidths if the spectrum is available [2]. (UMTS) for the next 10 years and beyond. The concepts for LTE systems have been introduced in 3GPP release 8, with objective of Universal Terrestrial Radio Access Network Long-Term high-data-rate, low-latency and packet-optimized radio access Evolution (UTRAN LTE), also known as Evolved UTRAN technology. In this paper, performance of different TCP variants (EUTRAN) is a new radio access technology proposed by the during LTE network investigated. The performance of TCP over 3GPP to provide a very smooth migration towards fourth LTE is affected mostly by the links of the wired network and total generation (4G) network [3]. EUTRAN is a system currently bandwidth available at the serving base station. This paper describes under development within 3GPP. LTE systems is under an NS-2 based simulation analysis of TCP-Vegas, TCP-Tahoe, TCP- Reno, TCP-Newreno, TCP-SACK, and TCP-FACK, with full developments now, and the TCP protocol is the most widely modeling of all traffics of LTE system. -
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. -
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............................................................................................................... -
Network Test and Monitoring Tools
ajgillette.com Technical Note Network Test and Monitoring Tools Author: A.J.Gillette Date: December 6, 2012 Revision: 1.3 Table of Contents Network Test and Monitoring Tools................................................................................................................1 Introduction.............................................................................................................................................................3 Link Characterization ...........................................................................................................................................4 Summary.................................................................................................................................................................12 Appendix A: NUTTCP..........................................................................................................................................13 Installing NUTTCP ..........................................................................................................................................13 Using NUTTCP .................................................................................................................................................13 NUTTCP Examples..........................................................................................................................................14 Appendix B: IPERF................................................................................................................................................17 -
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. -
Cloudstate: End-To-End WAN Monitoring for Cloud-Based Applications
CLOUD COMPUTING 2013 : The Fourth International Conference on Cloud Computing, GRIDs, and Virtualization CloudState: End-to-end WAN Monitoring for Cloud-based Applications Aaron McConnell, Gerard Parr, Sally McClean, Philip Morrow, Bryan Scotney School of Computing and Information Engineering University of Ulster Coleraine, Northern Ireland Email: [email protected], [email protected], [email protected], [email protected], [email protected] Abstract—Modern data centres are increasingly moving to- It is therefore necessary to have a periodic, automated wards more sophisticated cloud-based infrastructures, where means of measuring the state of the WAN link between servers are consolidated, backups are simplified and where any two addresses relevant to the successful delivery of an resources can be scaled up, across distributed cloud sites, if necessary. Placing applications and data stores across sites has application to end-users. This measurement should be taken a cost, in terms of the hosting at a given site, a cost in terms of periodically, with the time between polls being short enough the migration of application VMs and content across a network, that sudden changes in the quality of the WAN are observed, and a cost in terms of the quality of the end-to-end network but far enough part so as not to flood the network with link between the application and the end-user. This paper details monitoring traffic. Data collected from polls should also be a solution aimed at monitoring all relevant end-to-end network links between VMs, storage and end-users. -
Measure Wireless Network Performance Using Testing Tool Iperf
Measure wireless network performance using testing tool iPerf By Lisa Phifer, SearchNetworking.com Many companies are upgrading their wireless networks to 802.11n for better throughput, reach, and reliability, but getting a handle on your wireless LAN's ( WLAN 's) performance is important to ensure sufficient capacity and coverage. Here, we describe how to quantify network performance using iPerf, a simple, readily-available tool that measures TCP /UDP throughput, loss, and delay. Getting started iPerf was developed to simplify TCP performance tuning by making it easy to measure maximum throughput and bandwidth. When used with UDP, iPerf can also measure datagram loss and delay (aka jitter). iPerf can be run over any kind of IP network, including local Ethernet LANs, Internet access links, and Wi-Fi networks. To use iPerf, you must install two components: an iPerf server (which listens for incoming test requests) and an iPerf client (which launches test sessions). iPerf is available as open source or executable binaries for many operating systems, including Win32, Linux, FreeBSD, MacOS X, OpenBSD, and Solaris. A Win32 iPerf installer can be found at NLANR , while a Java GUI version (JPerf) is available from SourceForge . To measure Wi-Fi performance, you probably want to install iPerf on an Ethernet host upstream from the access point ( AP ) under test -- this will be your server. Next, install iPerf on one or more Wi-Fi laptops -- these will be your clients. This is representative of a typical application flow between Wi-Fi client and wired server. If your goal is to measure AP performance, place your iPerf server on the same LAN as the AP, connected by Fast or Gigabit Ethernet. -
Computer Networks ICS
Computer Networks ICS 651 ● congestion collapse ● congestion control: TCP Reno ● congestion control: TCP Vegas ● other ways of detecting congestion ● addressing congestion ● router intervention ● Internet Explicit Congestion Notification ● FIFO queueing ● fair queueing Router Congestion • assume a fast router • two gigabit-ethernet links receiving lots of outgoing data • one (relatively) slow internet link (10 Mb/s uplink speed) sending the outgoing data • if the two links send more than a combined 10 Mb/s over an extended period, the router buffers will fill up • eventually the router will have to discard data due to congestion: more data being sent than the line can carry Congestion Collapse • assume a fixed timeout • if I have n bytes/second to send, I send them • if they get dropped, I retransmit them (total 2n bytes/second, 3n bytes/second, ...) • when there is congestion, packets get dropped • if everybody retransmits with fixed timeout, the amount of data sent grows, increasing congestion • so some congestion (enough to drop packets) causes more congestion!!!! • eventually, very little data gets through, most is discarded • the network is (nearly) down TCP Reno • exponential backoff: if retransmit timer was t before retransmission, it becomes 2t after retransmission • careful RTT measurements give retransmission as soon as possible, but no sooner • keep a congestion window: • effective window is lesser of: (1) flow control window, and (2) congestion window • congestion window is kept only on the sender, and never communicated between -
Performance Testing Tools Jan Bartoň 30/10/2003
CESNET technical report number 18/2003 Performance Testing Tools Jan Bartoň 30/10/2003 1 Abstract The report describes properties and abilities of software tools for performance testing. It also shows the tools comparison according to requirements for testing tools described in RFC 2544 (Benchmarking Terminology for Network Intercon- nection Devices). 2 Introduction This report is intended as a basic documentation for auxiliary utilities or pro- grams that have been made for the purposes of evaluating transfer performance between one or more PCs in the role of traffic generators and another one on the receiving side. Section 3 3 describes requirements for software testing tools according to RFC 2544. Available tools for performance testing are catalogued by this document in section 4 4. This section also shows the testing tools com- patibility with RFC 2544 and the evaluation of IPv6 support. The summary of supported requirements for testing tools and IPv6 support can be seen in section 5 5. 3 Requirements for software performance testing tools according to RFC-2544 3.1 User defined frame format Testing tool should be able to use test frame formats defined in RFC 2544 - Appendix C: Test Frame Formats. These exact frame formats should be used for specific protocol/media combination (ex. IP/Ethernet) and for testing other media combinations as a template. The frame size should be variable, so that we can determine a full characterization of the DUT (Device Under Test) performance. It might be useful to know the DUT performance under a number of conditions, so we need to place some special frames into a normal test frames stream (ex. -
Better Throughput in TCP Congestion Control Algorithms on Manets
(IJACSA) International Journal of Advanced Computer Science and Applications, Special Issue on Wireless & Mobile Networks Scalable TCP: Better Throughput in TCP Congestion Control Algorithms on MANETs M.Jehan Dr. G.Radhamani Associate Professor, Department of Computer Science, Professor & Director, Department of Computer Science, D.J.Academy for Managerial Excellence, Dr.G.R.Damodaran College of Science, Coimbatore, India Coimbatore, India Abstract—In the modern mobile communication world the This paper is entirely devoted to evaluating the Control congestion control algorithms role is vital to data transmission Window (cwnd), Round Trip Delay Time (rtt) and Throughput between mobile devices. It provides better and reliable using the TCP BIC, Vegas and Scalable TCP congestion communication capabilities in all kinds of networking control algorithms in the wireless networks. environment. The wireless networking technology and the new kind of requirements in communication systems needs some II. BACKGROUND WORK extensions to the original design of TCP for on coming technology development. This work aims to analyze some TCP congestion A. Congestion Control in Transmission Control Protocol control algorithms and their performance on Mobile Ad-hoc Algorithms Networks (MANET). More specifically, we describe performance TCP (Transmission Control Protocol) is a set of rules behavior of BIC, Vegas and Scalable TCP congestion control (protocol) used along with the Internet Protocol (IP) to send algorithms. The evaluation is simulated through Network data in the form of message units between computers over the Simulator (NS2) and the performance of these algorithms is Internet. It operates at a higher level, concerned only with the analyzed in the term of efficient data transmission in wireless and two end systems. -
An Efficient Mechanism of TCP-Vegas on Mobile IP Networks
An Efficient Mechanism of TCP-Vegas on Mobile IP Networks Cheng-Yuan Ho, Yi-Cheng Chan, and Yaw-Chung Chen Department of Computer Science and Information Engineering National Chiao Tung University 1001 Ta Hsueh Road, Hsinchu 30050, Taiwan, R.O.C. [email protected], [email protected], [email protected] Abstract— Mobile IP network provides hosts the connectivity Mobile IP [2], [3]. to the Internet while changing locations. However, when using MIP (Mobile Internet Protocol) provides hosts with the TCP Vegas over a mobile network, it may respond to a handoff ability to change their point of attachment to the network by invoking a congestion control algorithm, thereby resulting in performance degradation, because TCP Vegas is sensitive to the without compromising their ability in communications. The change of RTT (Round-Trip Time) and it may recognize the mobility support provided by MIP is transparent to other increased RTT as a result of network congestion. Since TCP protocol layers so as not to affect those applications which do Vegas could not differentiate whether the increased RTT is due not have mobility features. MIP introduces three new entities to route change or network congestion. This work investigates required to support the protocol: the Home Agent (HA), the how to improve the performance of Vegas after a Mobile IP handoff and proposes a variation of TCP Vegas, so-called Demo- Foreign Agent (FA) and the Mobile Node (MN). Further Vegas, which is able to detect the movement of two end-hosts of information on MIP functionality can be found in [2], [3].