Congestion Control - Advanced Computer Networks - Lecture Slides, Slides of Computer Networks

The main points are: Congestion Control, Resource Allocation, Overload Conditions, Resources in Network, Available Link Capacity, Router Buffers, Bottleneck Routers, Packet-Switched Network, Connectionless Flows

Typology: Slides

2012/2013

Uploaded on 04/17/2013

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Congestion Control
and
Resource Allocation
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Congestion Control

and

Resource Allocation

Definitions

  • Flow control:: keep a fast sender from overrunning a slow receiver.
  • Congestion control:: the efforts made by network nodes to prevent or respond to overload conditions.

Congestion control is intended to keep a fast

sender from sending data into the network due to a lack of resources in the network {e.g., available link capacity, router buffers}.

Figure 6.1 Congestion in a packet-switched

network

Router 1.5-Mbps T1 link Destination

Source 2

Source 1

100-Mbps FDDI

10-Mbps Ethernet

Flows

  • flow :: a sequence of packets sent between a source/destination pair and following the same route through the network.
  • Connectionless flows within the TCP/IP model:: The connection-oriented abstraction, TCP, is implemented at the transport layer while IP provides a connectionless datagram delivery service.
  • With connectionless flows, there exists no state at the routers.

Figure 6.2 Multiple Flows passing through a set of

routers

Router

Source 2

Source 1

Source 3

Router

Router

Destination 2

Destination 1

Service

  • Best-effort service :: The hosts are given no

opportunity to ask for guarantees on a flow’s service.

  • QoS (Quality of Service) :: is a service model

that supports some type of guarantee for a flow’s service.

Congestion Control Taxonomy

  • Router-Centric
    • The internal network routers take responsibility for:
      • Which packets to forward
      • Which packets to drop or mark
      • The nature of congestion notification to the hosts.
    • This includes the Queuing Algorithm to manage the buffers at the router.
  • Host-Centric
    • The end hosts adjust their behavior based on observations of network conditions.
    • (e.g., TCP Congestion Control Mechanisms)

Congestion Control Taxonomy

  • Reservation-Based – the hosts attempt to

reserve network capacity when the flow is established.

  • The routers allocate resources to satisfy reservations or the flow is rejected.
  • The reservation can be receiver-based (e.g., RSVP) or sender-based.

Evaluation Criteria

  • Evaluation criteria are needed to decide how well a network effectively and fairly allocates resources.
  • Effective measures – throughput, utilization, efficiency, delay, queue length, goodput and power. throughput Power = -------------- delay

Fairness

  • Jain’s fairness index

For any given set of user throughputs (x 1 , x 2 ,…x n ), the fairness index to the set is defined:

f(x 1 , x 2 , …, x n ) =

 

n i

n xi 1

2

2 1

 

  

 

n i i

x

Congestion Control

(at the router)

  • Some of the possible choices in queuing

algorithms:

  • FIFO (FCFS) also called Drop-Tail
  • Fair Queuing (FQ)
  • Weighted Fair Queuing (WFQ)
  • Random Early Detection (RED)
  • Explicit Congestion Notification (ECN).

Drop Tail Router [FIFO]

  • First packet to arrive is first to be transmitted.
  • FIFO queuing mechanism that drops packets from

the tail of the queue when the queue overflows.

  • Introduces global synchronization when packets are

dropped from several connections.

  • FIFO is the scheduling mechanism, Drop Tail is the

policy

Priority Queuing

  • Problem:: high priority packets can ‘starve’

lower priority class packets.

  • Priority queuing is a simple case of

“differentiated services” [DiffServ].

  • One practical use in the Internet is to

protect routing update packets by giving them a higher priority and a special queue at the router.

Fair Queuing [FQ]

  • The basic problem with FIFO is that it does

not separate packets by flow.

  • Another problem with FIFO :: an “ill-

behaved” flow can capture an arbitrarily large share of the network’s capacity.

Idea:: maintain a separate queue for each

flow, and Fair Queuing (FQ) services these queues in a round-robin fashion.