Grasping Network Situation for Improving End-to-End Throughput
draft-pskim-grasping-network-situation-00

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Network Working Group                                             P. Kim
Internet-Draft                              Korea Polytechnic University
Intended status: Experimental                                     
Expires: May 3, 2020                                            
                                                       November 4, 2019

     Grasping Network Situation for Improving End-to-End Throughput
             draft-pskim-grasping-network-situation-00.txt

Abstract

   In this draft, a mechanism to grasp the network situation is proposed
   for improving end-to-end path throughput. The proposed mechanism is 
   based on the active packet-train probing based estimation. The 
   proposed mechanism defines three cases of the difference between the 
   average output gap and the input gap, and then reflects fully them. 
   Since three cases are handled respectively by appropriate 
   corresponding manners, the proposed mechanism can be expected to 
   reduce the detection error for the turning point. Therefore, through
   the proposed mechanism, the available bandwidth can be estimated more 
   reliably. 

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Kim                      Expires May 3, 2020                   [Page 1]
Internet-Draft        Grasping Network Situation         November 2019

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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . . 2
   2.  A Grasping Network Situation via Bandwidth Estimation . . . . 3
   2.1 Existing Active Packet-train Probing Based Estimation . . . . 3
   2.2 An Alternative Active Packet-train Probing Based Estimation . 4
   3.  IANA Considerations . . . . . . . . . . . . . . . . . . . . . 6
   4.  References  . . . . . . . . . . . . . . . . . . . . . . . . . 6
   Author's Address  . . . . . . . . . . . . . . . . . . . . . . . . 7

1.  Introduction

   Traffic jams on narrow roads can be one of the main causes of traffic 
   congestion, which also applies to communication networks. If there 
   are more data traffic than the available network bandwidth, 
   communication latency appears. This can adversely affect 5G-based 
   Internet services such as self-driving cars, autonomous robots, etc.
   
   Communication latency is the term used to indicate any kind of delay 
   that happens in data communication over a network. In particular, 
   high latency creates bottlenecks in any network communication. It 
   prevents the data from taking full advantage of the network pipe and 
   effectively decreases the communication bandwidth. The impact of 
   latency on network bandwidth can be temporary or persistent based on 
   the source of the delays.
   
   Recently, in order to reduce the communication latency, grasping the 
   network situation and adjusting the data transmission amount have 
   been researched as shown in BBR(Congestion-based congestion control)
   [1] and ExLL(An ultra low-latency congestion protocol for mobile 
   cellular network)[2]. BBR has been designed to prevent bottlenecks 
   before they happen. For a given network connection, BBR uses recent 
   measurements of the network's transmission rate and round-trip time 
   to build an explicit model that includes both the maximum recent 
   bandwidth available to that connection, and its minimum recent 
   round-trip delay. ExLL has been designed to elaborate the allowed 
   network bandwidth for an efficient low-latency transmission protocol. 
   If data is sent only as much as the network bandwidth allowed by the 
   mobile communication terminal, the data will not be unnecessarily 
   accumulated. To do this, the pattern of packets received by the 
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