A class of end to end congestion control algorithms for the internet
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A Class of End-to-End Congestion Control Algorithms for the Internet. Golestani and Bhattacharyya ICNP’98. Introduction.  Limited network observability and controllability  Congestion control (CC) is difficult

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A Class of End-to-End Congestion Control Algorithms for the Internet

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A class of end to end congestion control algorithms for the internet

A Class of End-to-End Congestion Control Algorithms for the Internet

Golestani and Bhattacharyya

ICNP’98


Introduction

Introduction

  •  Limited network observability and controllability Congestion control (CC) is difficult

  •  To accommodate rapid growth of the InternetIP protocol and requirements are kept at a minimum End-to-end CC at the transport layer

  •  Prevalence of FIFO queuing in the Internet Sophisticated CC disciplines are not easily applicable


A class of end to end congestion control algorithms for the internet

  • Tradeoff between

    • avoiding congestion (in the network)

    • satisfying users

      • fairness

      • Priority

  • This paper formulate the end-to-end control of user traffic in IP networks as a global optimization problem, enforcing fairness and priority without requiring non-FIFO switches


A class of end to end congestion control algorithms for the internet

  • Minimum Cost Flow Control (MCFC)

    • Coarse Realization

      • Implicit congestion notification

      • Rely on the end-to-end packet delay and loss observations, like TCP

    • Exact Realization

      • Explicit congestion notification

      • Probing mechanism:some of the data packets of each session include a short congestion field which is modified by each switch that the packet visits.


Multiple scales of congestion control

Multiple Scales of Congestion Control


A class of end to end congestion control algorithms for the internet

  • MCFC algorithm can be applied to

    • Rate-based CC (directly) controlling the transmission rateWindow-based CC (indirectly)controlling the window size

    • Assume an infinite source for a session s,

      • Window-based (Indirectly controlling)

        • s  ws/s (s : Short-term transmission rate; s : Short-term RTT)

      • Rate-based (Directly controlling)

        • ws = rs• ss  rs• s/s(rs : Medium-term transmission rate; s : Medium-term RTT)

      • If s  s , then s  rs


A class of end to end congestion control algorithms for the internet

  • Consider an exponentially weighted running average algorithm to update the estimation of s , of observing RTT(p)of each new packet p from s:s (1 - ) s +  • (p)


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