In this section, we will see the two networks constructed in Mininet and the flows running through the network
Flows:
1. A total of 12 simulations were run through the network. Flows were generated between hosts using the tool D-ITG.
2. Traffic generation:
D-ITG is used for generating traffic in the network. Random hosts and clients are selected for sending traffic. To get sufficient delay in the network the link is used up to 100% in case of heavy traffic, around 70% for medium traffic and 20% for low traffic. The receiver logs are registered for each flow. Flows nature is UDP as UDP does not re-attempt to send a dropped packet. The packet size is fixed to 1024 and number of packets send per second can be changed depending on the traffic requirement.
The following tables give the details of each flow which were simulated for network 1.
The network was created in Mininet. It consists of 12 hosts and 8 OpenV switches. It uses the external controller which is selected in Mininet python code.
Network 2 is constructed in Mininet. It is a partial tree structure with 11 switches and 12 hosts. External Floodlight controller is connected to the Mininet network using python code. The controller is set in a different Virtual machine.
Each KQI will be analyzed for all three algorithms on both the network.
1. Average Delay:
The best performing algorithm for high traffic flows is a latency based algorithm. It gives a minimum delay of 1.845 sec which is 28% lower than the delay observed
This assignment will be mainly about network components and how do they operate, what are their functions and what are their flaws.
Section 1Computing Usable Subnets and Hosts vLab—40 Points Total * Task 1 * Task 2 * Summary Paragraph
Builds topologies map (Every node knows how to reach to its directly connected neighbors and by making sure that the total of this acknowledge is distributed to every node then every node will have enough information to build a complete map of the network).
Paths with non-zero flow amounts from origin to destination are known, which is mix of violator and common public. As model under investigation need information about all paths and relative flows for each OD (origin-destination) pair of the network.
The wired scenario in OMNET++ consists of a reader, tags and central coordinator. The network description file is made up of two areas in a warehouse. The two areas along with the central coordinator forms the network.
Simulation environment consists of wired, wireless and wired cum wireless network. Network simulator NS 2.35 [6] is used for the simulation. NS is a discrete event simulator, where the advance of times depends on the timing of events which are maintained by simulator.
Stream identifiers identify what stream a packet belongs to; class identifier identifies a transmitter and the information and packet classes. The timestamp fields are used to precisely specify the reference point of time for the transmission of the first packet [14]. The trailer is an optional part of the structure that can be used to enable other processes, as well as indicate states and events [14]. For the project these optional fields are disregarded.
The first objective in the LAN Modeling tutorial is Setting Up the Scenario. The final step in setting up your scenario appears below.
Step 1: Construct a network diagram for the project. (NOTE: EF for activity H should be 19)
Step 1: Construct a network diagram for the project. (NOTE: EF for activity H should be 19)
18) In a maximal flow problem, each node in the network is associated with a decision variable.
Peterson, L. L., & Davie, B. S. (2011). Computer Networks, Fifth Edition: A Systems Approach (The Morgan Kaufmann Series in Networking). Morgan Kaufmann.
Also print out the network diagram on two to three pages so that task information can be read.
Software-defined networking (SDN) promises something akin to enterprise networking utopia by separating the control panel from the physical network topology to create an environment where all switches and routers take their traffic forwarding cues from a centralized management controller. In a software-defined networking environment, this software-based controller must have an end-to-end view of network resources and capacity.