Internet Traffic Management Prafull Suryawanshi Roll No - 04IT6008

11 Oct 2004Inernet Traffic Management2 Basic Concept of Traffic Need of Traffic Management Measuring Traffic Traffic Control and Management Quality and Pricing Issues Conclusion Overview

11 Oct 2004Inernet Traffic Management3 What is traffic? Density of Data Request / Response / Control Load Queue Delay

11 Oct 2004Inernet Traffic Management4 Why Worry about Traffic? Widely used network Different types of network Service Quality Dynamic nature of traffic Complex nature of traffic data

11 Oct 2004Inernet Traffic Management5 Measuring Internet Traffic First Step Reasons for Motivation of measurement –Making sure things keep working –More capacity need –Billing data –Understanding to improve network

11 Oct 2004Inernet Traffic Management6 What can we measure? Network Hardware – Support SNMP and implement MIB Limited functionality Specialized Method or Tools Requires specialized hardware Allow to measure more detail view of traffic

11 Oct 2004Inernet Traffic Management7 What can we measure? MIB may provide Count of packet or bytes Amount of data The tools allows Link Behaviour Routing Topology Traffic Flows

11 Oct 2004Inernet Traffic Management8 Active Measurement Injection of Probes Ping and Trace route  Path connectivity  Round-trip delay User-Application Performance  Loss  Delay  Throughput Approaches in Measurement

11 Oct 2004Inernet Traffic Management9 Passive Measurement Packet Monitors  Packet Header  Unique Protocol Router and Switch Traffic Statistics  Packet Drops  Counts  Flow Statistics Server and Router Log Approaches in Measurement

11 Oct 2004Inernet Traffic Management10 Measuring Tools Local Systems  NETSTAT  TCPDUMP Remote System  MIB  IF-MIB Router  NETFLOW Sniffers  RMON

11 Oct 2004Inernet Traffic Management11 Analyzing Traffic (Use of Traffic Data) Performance Metrics Packet Loss Delay Throughput Availability

11 Oct 2004Inernet Traffic Management12 Traffic Control and Management Types of traffic control –Macroscopic Route topology Use of BGP Filters –Microscopic Control at point of forwarding Examine payload Firewall Intrusion Detection System

11 Oct 2004Inernet Traffic Management13 Example : Web Servers Traffic Mgmt. Huge number of requests Server Farm Load Balancer Internet Uses Global Load Balancing

11 Oct 2004Inernet Traffic Management14 QoS and Pricing Issues Internet Data –Text –Audio –Video Impact on SLA –Traffic Variations –Flow and Sessions –Streaming and Elastic Flow –Variable Rate of Traffic Streams

11 Oct 2004Inernet Traffic Management15 Conclusion Even if complex nature of Internet data, using efficient measuring method we can gather required data to analyze the traffic. Implementing appropriate control mechanisms we can avoid traffic in Internet. Mechanisms depend upon nature of traffic.

Thank You !