An Extension of the Codel Algorithm
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A Letter to the FCC [PDF]
Before the FEDERAL COMMUNICATIONS COMMISSION Washington, DC 20554 In the Matter of ) ) Amendment of Part 0, 1, 2, 15 and 18 of the ) ET Docket No. 15170 Commission’s Rules regarding Authorization ) Of Radio frequency Equipment ) ) Request for the Allowance of Optional ) RM11673 Electronic Labeling for Wireless Devices ) Summary The rules laid out in ET Docket No. 15170 should not go into effect as written. They would cause more harm than good and risk a significant overreach of the Commission’s authority. Specifically, the rules would limit the ability to upgrade or replace firmware in commercial, offtheshelf home or smallbusiness routers. This would damage the compliance, security, reliability and functionality of home and business networks. It would also restrict innovation and research into new networking technologies. We present an alternate proposal that better meets the goals of the FCC, not only ensuring the desired operation of the RF portion of a WiFi router within the mandated parameters, but also assisting in the FCC’s broader goals of increasing consumer choice, fostering competition, protecting infrastructure, and increasing resiliency to communication disruptions. If the Commission does not intend to prohibit the upgrade or replacement of firmware in WiFi devices, the undersigned would welcome a clear statement of that intent. Introduction We recommend the FCC pursue an alternative path to ensuring Radio Frequency (RF) compliance from WiFi equipment. We understand there are significant concerns regarding existing users of the WiFi spectrum, and a desire to avoid uncontrolled change. However, we most strenuously advise against prohibiting changes to firmware of devices containing radio components, and furthermore advise against allowing nonupdatable devices into the field. -
15-744: Computer Networking Fair Queuing Overview Example
Fair Queuing • Fair Queuing • Core-stateless Fair queuing 15-744: Computer Networking • Assigned reading • Analysis and Simulation of a Fair Queueing Algorithm, Internetworking: Research and Experience L-7 Fair Queuing • Congestion Control for High Bandwidth-Delay Product Networks (XTP - 2 sections) 2 Overview Example • 10Gb/s linecard • TCP and queues • Requires 300Mbytes of buffering. • Queuing disciplines • Read and write 40 byte packet every 32ns. •RED • Memory technologies • DRAM: require 4 devices, but too slow. • Fair-queuing • SRAM: require 80 devices, 1kW, $2000. • Core-stateless FQ • Problem gets harder at 40Gb/s • Hence RLDRAM, FCRAM, etc. •XCP 3 4 1 Rule-of-thumb If flows are synchronized • Rule-of-thumb makes sense for one flow Wmax • Typical backbone link has > 20,000 flows • Does the rule-of-thumb still hold? Wmax 2 Wmax Wmax 2 t • Aggregate window has same dynamics • Therefore buffer occupancy has same dynamics • Rule-of-thumb still holds. 5 6 If flows are not synchronized Central Limit Theorem W B • CLT tells us that the more variables (Congestion 0 Windows of Flows) we have, the narrower the Gaussian (Fluctuation of sum of windows) • Width of Gaussian decreases with 1 n 1 • Buffer size should also decreases with n Bn1 2T C Buffer Size Probability B Distribution n n 7 8 2 Required buffer size Overview • TCP and queues • Queuing disciplines •RED 2TC n • Fair-queuing • Core-stateless FQ Simulation •XCP 9 10 Queuing Disciplines Packet Drop Dimensions • Each router must implement some queuing discipline Aggregation Per-connection -
15-744: Computer Networking Fair Queuing Overview Example
Fair Queuing • Fair Queuing • Core-stateless Fair queuing 15-744: Computer Networking • Assigned reading • [DKS90] Analysis and Simulation of a Fair Queueing Algorithm, Internetworking: Research and Experience L-5 Fair Queuing • [SSZ98] Core-Stateless Fair Queueing: Achieving Approximately Fair Allocations in High Speed Networks 2 Overview Example • 10Gb/s linecard • TCP and queues • Requires 300Mbytes of buffering. • Queuing disciplines • Read and write 40 byte packet every 32ns. • RED • Memory technologies • DRAM: require 4 devices, but too slow. • Fair-queuing • SRAM: require 80 devices, 1kW, $2000. • Core-stateless FQ • Problem gets harder at 40Gb/s • Hence RLDRAM, FCRAM, etc. • XCP 3 4 1 Rule-of-thumb If flows are synchronized • Rule-of-thumb makes sense for one flow • Typical backbone link has > 20,000 flows • Does the rule-of-thumb still hold? t • Aggregate window has same dynamics • Therefore buffer occupancy has same dynamics • Rule-of-thumb still holds. 5 6 If flows are not synchronized Central Limit Theorem B • CLT tells us that the more variables (Congestion 0 Windows of Flows) we have, the narrower the Gaussian (Fluctuation of sum of windows) • Width of Gaussian decreases with • Buffer size should also decreases with Buffer Size Probability Distribution 7 8 2 Required buffer size Overview • TCP and queues • Queuing disciplines • RED • Fair-queuing • Core-stateless FQ Simulation • XCP 9 10 Queuing Disciplines Packet Drop Dimensions • Each router must implement some queuing discipline Aggregation Per-connection state Single -
Evaluation of Priority Scheduling and Flow Starvation for Thin Streams with FQ-Codel
2015 European Conference on Networks and Communications (EuCNC) Evaluation of Priority Scheduling and Flow Starvation for Thin Streams with FQ-CoDel Eduard Grigorescu, Chamil Kulatunga, Gorry Nicolas Kuhn Fairhurst Télécom Bretagne, IRISA School of Engineering, University of Aberdeen, UK [email protected] {eduard, chamil, gorry}@erg.abdn.ac.uk Abstract— Bufferbloat is the result of oversized buffers and algorithms, managing packet scheduling and isolation/capacity induced high end-to-end latency experienced by applications allocation among flows, can be introduced. As one example of across the Internet. This additional delay can adversely impact a scheme that mixes both classes, FlowQueue-CoDel (FQ- thin streams that frequently exchange small amounts of data, but CoDel) [7] is a scheduling scheme that features prioritization have stringent latency requirements. Active Queue Management and flow isolation. FQ-CoDel creates one sub-queue per flow (AQM) techniques, such as Controlled Delay (CoDel), can control and applies CoDel on each of them. The awareness of the the queuing delay in a network device to ensure low latency by dropping packets to indicate incipient congestion. FlowQueue- latency resulting from over-provisioned buffers has been CoDel (FQ-CoDel) is a scheduling scheme that creates one sub- accompanied by an increase in real-time applications such as queue per flow and applies CoDel on each of them. FQ-CoDel Voice over Internet Protocol, gaming or financial trading features: (1) priority scheduling for low-rate traffic; (2) flow applications. As one example, the latency experienced by isolation; (3) queue management with CoDel. First, this paper gamers can directly impact the perceived value of the network fills a gap in the understanding of FQ-CoDel by analyzing what service [10]. -
Queue Scheduling Disciplines
White Paper Supporting Differentiated Service Classes: Queue Scheduling Disciplines Chuck Semeria Marketing Engineer Juniper Networks, Inc. 1194 North Mathilda Avenue Sunnyvale, CA 94089 USA 408 745 2000 or 888 JUNIPER www.juniper.net Part Number:: 200020-001 12/01 Contents Executive Summary . 4 Perspective . 4 First-in, First-out (FIFO) Queuing . 5 FIFO Benefits and Limitations . 6 FIFO Implementations and Applications . 6 Priority Queuing (PQ) . 6 PQ Benefits and Limitations . 7 PQ Implementations and Applications . 8 Fair Queuing (FQ) . 9 FQ Benefits and Limitations . 9 FQ Implementations and Applications . 10 Weighted Fair Queuing (WFQ) . 11 WFQ Algorithm . 11 WFQ Benefits and Limitations . 13 Enhancements to WFQ . 14 WFQ Implementations and Applications . 14 Weighted Round Robin (WRR) or Class-based Queuing (CBQ) . 15 WRR Queuing Algorithm . 15 WRR Queuing Benefits and Limitations . 16 WRR Implementations and Applications . 18 Deficit Weighted Round Robin (DWRR) . 18 DWRR Algorithm . 18 DWRR Pseudo Code . 19 DWRR Example . 20 DWRR Benefits and Limitations . 24 DWRR Implementations and Applications . 25 Conclusion . 25 References . 26 Textbooks . 26 Technical Papers . 26 Seminars . 26 Web Sites . 27 Copyright © 2001, Juniper Networks, Inc. List of Figures Figure 1: First-in, First-out (FIFO) Queuing . 5 Figure 2: Priority Queuing . 7 Figure 3: Fair Queuing (FQ) . 9 Figure 4: Class-based Fair Queuing . 11 Figure 5: A Weighted Bit-by-bit Round-robin Scheduler with a Packet Reassembler . 12 Figure 6: Weighted Fair Queuing (WFQ)—Service According to Packet Finish Time . 13 Figure 7: Weighted Round Robin (WRR) Queuing . 15 Figure 8: WRR Queuing Is Fair with Fixed-length Packets . 17 Figure 9: WRR Queuing is Unfair with Variable-length Packets . -
AQM Algorithms and Their Interaction with TCP Congestion Control Mechanisms
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Universidad Carlos III de Madrid e-Archivo Grado Universitario en Ingenier´ıaTelem´atica 2016/2017 Trabajo Fin de Grado Control de Congesti´onTCP y mecanismos AQM Sergio Maeso Jim´enez Tutor/es Celeste Campo V´azquez Carlos Garc´ıaRubio Legan´es,2 de Octubre de 2017 Esta obra se encuentra sujeta a la licencia Creative Commons Reconocimiento - No Comercial - Sin Obra Derivada Control de Congesti´onTCP y mecanismos AQM By Sergio Maeso Jim´enez Directed By Celeste Campo V´azquez Carlos Garc´ıaRubio A Dissertation Submitted to the Department of Telematic Engineering in Partial Fulfilment of the Requirements for the BACHELOR'S DEGREE IN TELEMATICS ENGINEERING Approved by the Supervising Committee: Chairman Marta Portela Garc´ıa Chair Carlos Alario Hoyos Secretary I~naki Ucar´ Marqu´es Deputy Javier Manuel Mu~noz Garc´ıa Grade: Legan´es,2 de Octubre de 2017 iii iv Acknowledgements I would like to thanks my tutors Celeste Campo and Carlos Garcia for all the support they gave me while I was doing this thesis with them. To my parents, who believe in me against all odds. v vi Abstract In recent years, the relevance of delay over throughput has been particularly emphasized. Nowadays our networks are getting more and more sensible to latency due to the proliferation of applications and services like VoIP, IPTV or online gaming where a low delay is essential for a proper performance and a good user experience. Most of this unnecessary delay is created by the misbehaviour of many buffers that populate Internet. -
Auto-Tuning Active Queue Management
2017 9th International Conference on Communication Systems and Networks (COMSNETS) Auto-Tuning Active Queue Management Joe H. Novak Sneha Kumar Kasera University of Utah University of Utah Abstract not require pre-specification of even those parameters including 3 Active queue management (AQM) algorithms preemptively EWMA weights or protocol timer intervals that are routinely drop packets to prevent unnecessary delays through a network specified in protocol design and implementation. while keeping utilization high. Many AQM ideas have been When we view the network link in terms of utilization proposed, but none have been widely adopted because these rely and the queue corresponding to the link in terms of delay on pre-specification or pre-tuning of parameters and thresholds (Fig. 1 shows a typical delay-utilization curve), we see that that do not necessarily adapt to dynamic network conditions. as utilization increases, delay also increases. At a certain point, We develop an AQM algorithm that relies only on network however, there is a very large increase in delay for only a small runtime measurements and a natural threshold, the knee on improvement in utilization. This disproportionate increase in the delay-utilization curve. We call our AQM algorithm Delay delay is of little to no value to the applications at the endpoints. Utilization Knee (DUK) based on its key characteristic of We want to avoid this unstable region of high increase in delay keeping the system operating at the knee of the delay-utilization with little increase in utilization. As a result, a natural threshold curve. We implement and evaluate DUK in the Linux kernel in becomes apparent. -
Enhanced Core Stateless Fair Queuing with Multiple Queue Priority Scheduler
The International Arab Journal of Information Technology, Vol. 11, No. 2, March 2014 159 Enhanced Core Stateless Fair Queuing with Multiple Queue Priority Scheduler Nandhini Sivasubramaniam 1 and Palaniammal Senniappan 2 1Department of Computer Science, Garden City College of Science and Management Studies, India 2Department of Science and Humanities, VLB Janakiammal College of Engineering and Technology, India Abstract: The Core Stateless Fair Queuing (CSFQ) is a distributed approach of Fair Queuing (FQ). The limitations include its inability to estimate fairness during large traffic flows, which are short and bursty (VoIP or video), and also it utilizes the single FIFO queue at the core router. For improving the fairness and efficiency, we propose an Enhanced Core Stateless Fair Queuing (ECSFQ) with multiple queue priority scheduler. Initially priority scheduler is applied to the flows entering the ingress edge router. If it is real time flow i.e., VoIP or video flow, then the packets are given higher priority else lower priority. In core router, for higher priority flows the Multiple Queue Fair Queuing (MQFQ) is applied that allows a flow to utilize multiple queues to transmit the packets. In case of lower priority, the normal max-min fairness criterion of CSFQ is applied to perform probabilistic packet dropping. By simulation results, we show that this technique improves the throughput of real time flows by reducing the packet loss and delay. Keywords: CSFQ, quality of service, MQFQ, priority scheduler. Received November 21, 2011; accepted July 29, 2012; published online January 29, 2013 1. Introduction 1.2. Fair Queuing Techniques 1.1. Queuing Algorithms in Networking Queuing in networking includes techniques like priority queuing [7, 11, 13], Fair Queuing (FQ) [2, 10, Queueing Theory is a branch of applied probability 19] and Round Robin Queuing [12, 15, 16]. -
Controlling Queuing Delays for Real-Time Communication: the Interplay of E2E and AQM Algorithms
Controlling Queuing Delays for Real-Time Communication: The Interplay of E2E and AQM Algorithms Gaetano Carlucci Luca De Cicco Saverio Mascolo Politecnico di Bari, Italy Politecnico di Bari, Italy Politecnico di Bari, Italy [email protected] [email protected] [email protected] ABSTRACT control algorithm; the other placed in the network routers, Real-time media communication requires not only i.e. the Active Queue Management (AQM) algorithm. congestion control, but also minimization of queuing delays When designing end-to-end congestion control algorithms to provide interactivity. In this work we consider the case of for video conference, UDP is a natural choice, since real-time communication between web browsers (WebRTC) such applications cannot tolerate large latencies due to and we focus on the interplay of an end-to-end delay-based TCP packet retransmissions. Additionally, delay-based congestion control algorithm, i.e. the Google congestion congestion control algorithms are usually preferred to control (GCC), with two delay-based AQM algorithms, loss-based ones since they can detect congestion before namely CoDel and PIE, and two flow queuing schedulers, packets are lost due to buffer overflow. i.e. SFQ and Fq Codel. Experimental investigations show On the other hand, AQM schemes control the router that, when only GCC flows are considered, the end-to-end buffers by dropping the packets or marking them if ECN algorithm is able to contain queuing delays without AQMs. is used [21]. Despite the fact that many AQM algorithms Moreover the interplay of GCC flows with PIE or CoDel have been proposed over the past two decades [7], the leads to higher packet losses with respect to the case of a adoption of these algorithms has been hampered by two DropTail queue. -
Controlling Queuing Delays for Real-Time Communication: the Interplay of E2E and AQM Algorithms
Controlling Queuing Delays for Real-Time Communication: The Interplay of E2E and AQM Algorithms Gaetano Carlucci Luca De Cicco Saverio Mascolo Politecnico di Bari, Italy Politecnico di Bari, Italy Politecnico di Bari, Italy [email protected] [email protected] [email protected] ABSTRACT requirements can be met by employing two complementary control Real-time media communication requires not only congestion algorithms: one placed at the end points, namely the end-to-end control, but also minimization of queuing delays to provide congestion control algorithm; the other placed in the network interactivity. In this work we consider the case of real-time routers, i.e. the Active Queue Management (AQM) algorithm. communication between web browsers (WebRTC) and we focus When designing end-to-end congestion control algorithms on the interplay of an end-to-end delay-based congestion control for video conference, UDP is the natural choice, since such algorithm, i.e. the Google congestion control (GCC), with two applications cannot tolerate large latencies due to TCP packet delay-based AQM algorithms, namely CoDel and PIE, and two retransmissions. Additionally, delay-based congestion control flow queuing schedulers, i.e. SFQ and Fq_Codel. Experimental algorithms are usually preferred to loss-based ones since they can investigations show that, when only GCC flows are considered, detect congestion before packets are lost due to buffer overflow. the end-to-end algorithm is able to contain queuing delays without On the other hand, AQM schemes control the router buffers AQMs. Moreover the interplay of GCC flows with PIE or CoDel by dropping the packets or marking them if ECN is used [21]. -
Packet Mark Methodology for Reduce the Congestion
Forn International Journal of Scientific Research in Computer Science and Engineering Review Paper VolVolVol-Vol ---1,1, IssueIssue----3333 ISSN: 2322320000––––76397639 Packet Mark Methodology for Reduce the Congestion V.Ganesh Babu and K.Saraswathi Department of CS, Government College for Women, Maddur, Mandya Dt Karnataka, INDIA Department of CS, Nehru Memorial College, Puthanampatti, Trichy Dt. Tamil Nadu, INDIA Available online at www.isroset.org Received: 17 March 2013 Revised: 22 March 2013 Accepted: 16 May 2013 Published: 30 June 2013 Abstract-Congestion is one of the major problems of a communication network in routing. The function of a routing is to guide packets through the communication network to their correct destinations. Optimal Routing has been widely studied for interconnection networks. This paper provides two methodologies ECN and QBER for reduce the congestion. Keywords- Routing, congestion, ECN, QBER 1. INTRODUCTION packet. This act is referred to as “marking” and its purpose is to inform the receiving endpoint of impending The first methodology Explicit Congestion Notification congestion. At the receiving endpoint, this congestion (ECN) is an extension to the Internet protocol and to the indication is handled by the upper layer protocol (transport Transmission Control Protocol and is defined in layer protocol) and needs to be echoed back to the RFC3168(2001). ECN allows end-to-end notification of transmitting node in order to signal it to reduce its network congestion without dropping packets. ECN is an transmission rate. optional feature that is only used when both endpoints support it and are willing to use it. It is only effective when 2.2 Operation of ECN with TCP supported by the underlying network. -
Piece of CAKE: a Comprehensive Queue Management Solution for Home Gateways
Piece of CAKE: A Comprehensive Queue Management Solution for Home Gateways Toke Høiland-Jørgensen Dave Täht Jonathan Morton Dept. of Computer Science Teklibre Karlstad University, Sweden Los Gatos, California Somero, Finland [email protected] [email protected] [email protected] Abstract—The last several years has seen a renewed interest compelling benefit of CAKE is that it takes state of the art in smart queue management to curb excessive network queueing solutions and integrates them to provide: delay, as people have realised the prevalence of bufferbloat in • a high-precision rate-based bandwidth shaper that in- real networks. However, for an effective deployment at today’s last mile cludes overhead and link layer compensation features for connections, an improved queueing algorithm is not enough in various link types. itself, as often the bottleneck queue is situated in legacy systems • a state of the art fairness queueing scheme that simulta- that cannot be upgraded. In addition, features such as per-user neously provides both host and flow isolation. fairness and the ability to de-prioritise background traffic are • a Differentiated Services (DiffServ) prioritisation scheme often desirable in a home gateway. with rate limiting of high-priority flows and work- In this paper we present Common Applications Kept Enhanced (CAKE), a comprehensive network queue management system conserving bandwidth borrowing behaviour. designed specifically for home Internet gateways. CAKE packs • TCP ACK filtering that increases achievable throughput several compelling features into an integrated solution, thus on highly asymmetrical links. easing deployment. These features include: bandwidth shaping CAKE is implemented as a queueing discipline (qdisc) for with overhead compensation for various link layers; reasonable DiffServ handling; improved flow hashing with both per-flow and the Linux kernel.