برنامه نویسی با omnet++

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شرح پروژه

Laboratory 2 - “Hosts, switches and backward learning”
DEADLINE: JANUARY 9, 2017
In this lab, you will implement the Backward Learning algorithm in a network of switches. The Backward
Learning algorithm allows a switch to learn on which of its gates it should forward a packet by looking at
the source address of any incoming packet. In time, a switch can fill its switching table autonomously.
The procedure is simple and it is executed every time a packet is received. The switch looks at the
destination address of the incoming packet and:
• if the destination is already listed in its switching table, the switch will forward the packet on the port
indicated by the table
• if the destination is not in its switching table, the switch will write in its switching table that the packet
source address is reachable through the incoming gate where the packet was received, then it will
forward copies of the packet on all of its gates.
We will implement it by building on the previous Lab, through a series of steps
LAB TASK 1: the topology
Starting from the topology in the .ned file of the previous lab, replace the existing simple module with two
simple modules:
- Host: module whose task is to generate messages
and ACKs, and to receive them.
- Router (do not use ‘switch’ because it is a C++
reserved keyword): module whose task is to man

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مهارت ها و تخصص های مورد نیاز

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