How to Implement Edge Computing in ns2

To implement the edge computing in Network Simulator 2 (ns2), we have to simulate a network in which the computation is dispersed to nodes nearer to the data source, usually at the “edge” of the network. It can contain different elements like IoT devices, edge servers and a central cloud server. The intent is to show how computation can be unloaded from the central servers to edge nodes to decrease latency and enhance performance.

Follow the given procedure to accomplish the edge computing in ns2:

Step-by-Step Implementation:

  1. Set Up the NS2 Environment:
  • Make certain to install the ns2 on your computer.
  • Acquaint yourself with writing TCL scripts, as NS2 simulations are controlled through TCL.
  1. Define the Network Topology:
  • Start by generating a network topology that has IoT devices (clients), edge servers and possibly a central cloud server.

# Define the simulator

set ns [new Simulator]

# Create a trace file for analysis

set tracefile [open out.tr w]

$ns trace-all $tracefile

# Create a NAM file for animation

set namfile [open out.nam w]

$ns namtrace-all $namfile

# Define nodes: IoT devices, edge servers, and a central cloud server

set iot1 [$ns node]

set iot2 [$ns node]

set iot3 [$ns node]

set edge1 [$ns node]  ;# Edge server 1

set edge2 [$ns node]  ;# Edge server 2

set cloud [$ns node]  ;# Central cloud server

  1. Set Up Links Between Nodes:
  • Accomplish links amongst the IoT devices, edge servers, and the cloud server, replicating various network conditions (such as changing bandwidths and delays).

# Create duplex links between IoT devices and edge servers

$ns duplex-link $iot1 $edge1 5Mb 10ms DropTail

$ns duplex-link $iot2 $edge1 5Mb 15ms DropTail

$ns duplex-link $iot3 $edge2 5Mb 20ms DropTail

# Create duplex links between edge servers and the cloud server

$ns duplex-link $edge1 $cloud 10Mb 50ms DropTail

$ns duplex-link $edge2 $cloud 10Mb 60ms DropTail

  1. Simulate Edge Computing Offloading:
  • Simulate the unloading of computation tasks by attaching TCP/UDP agents to the IoT devices and edge servers. You can simulate computation by transmitting data from IoT devices to edge servers.

# IoT device 1 sends data to edge server 1 for computation

set tcp_iot1 [new Agent/TCP]

$ns attach-agent $iot1 $tcp_iot1

set tcp_edge1 [new Agent/TCPSink]

$ns attach-agent $edge1 $tcp_edge1

$ns connect $tcp_iot1 $tcp_edge1

# IoT device 2 sends data to edge server 1

set tcp_iot2 [new Agent/TCP]

$ns attach-agent $iot2 $tcp_iot2

set tcp_edge1_2 [new Agent/TCPSink]

$ns attach-agent $edge1 $tcp_edge1_2

$ns connect $tcp_iot2 $tcp_edge1_2

# IoT device 3 sends data to edge server 2

set tcp_iot3 [new Agent/TCP]

$ns attach-agent $iot3 $tcp_iot3

set tcp_edge2 [new Agent/TCPSink]

$ns attach-agent $edge2 $tcp_edge2

$ns connect $tcp_iot3 $tcp_edge2

  1. Simulate Task Processing at the Edge:
  • To indicate processing at the edge, you can present a delay to replicate computation time before data is deliver to the cloud or back to the IoT devices.

# Simulate processing time at edge server 1 before sending data to the cloud

proc edge_processing {src dst data_processing_time} {

global ns

$ns at $data_processing_time “$src send_data_to $dst”

}

# Example of sending processed data from edge server 1 to the cloud after 1 second

$ns at 1.0 “edge_processing $edge1 $cloud 1.0”

$ns at 1.5 “edge_processing $edge2 $cloud 1.5”

  1. Run the Simulation:
  • State when the simulation should end and run it. The finish procedure will close the trace files and launch NAM for visualization.

# Define the finish procedure

proc finish {} {

global ns tracefile namfile

$ns flush-trace

close $tracefile

close $namfile

exec nam out.nam &

exit 0

}

# Schedule the finish procedure at 10 seconds

$ns at 10.0 “finish”

# Run the simulation

$ns run

  1. Analyze the Results:
  • Evaluate the packet delivery, delays, throughput and the other performance metrics by using trace file (out.tr).
  • Visualize the network operations and traffic flow by opening the NAM file (out.nam).
  1. Customize and Extend:
  • You can tailor the simulation by:
    • Replicate the various workloads by changing the processing time at the edge servers.
    • Monitor edge computing impacts performance by modifying the network conditions (like bandwidth, delays).
    • Executing more difficult logic for task unloading, where decisions are depends on factors like network conditions, server load, or the type of task.
    • Simulating situation where particular tasks are offloaded to the central cloud if edge servers are overloaded.

Example Summary:

This sample configures a simple basic edge computing simulation in ns2. IoT devices direct data to closer edge servers for processing and then transmit the data to a central cloud server. The replication uses TCP for consistent data transfer and the processing delay indicated the computation at the edge.

Advanced Considerations:

  • For more advanced edge computing environments, consider executing dynamic load balancing, where tasks are unloaded to the least loaded or closest edge server.
  • You can also replicate energy utilization and resource distribution techniques, which are vital characteristics of edge computing.

Debugging and Optimization:

  • Debug the simulation and evaluate the packet flows by using the trace-all command.
  • Enhance the simulation by modifying TCP parameters, refining the offloading logic, and tuning network properties.

Utilize this demonstration process to understand how to implement the Edge Computing using ns2. You can able to extend the simulation and modify it. We also offer the steps on how to optimize the computation process. For further requirements, we will deliver any details of edge computing or their computational tasks to you.

Rely on us for the most innovative project ideas and topics. Let our experts handle your Edge Computing implementation in ns2. At ns2project.com, we provide top-notch support for all your implementation needs.