Performance Analysis of scheduling emergency tasks in SDN

Performance Analysis of scheduling emergency tasks in SDN based mobile edge computing networks

Implementation Plan:
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Scenario-1:
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Step 1: Initially, we construct a SDN network with 60 – Mobile Devices, 1 – SDN controller (RYU), 5-MEC Server.

Step 2: Next, we allocate tasks by assigning tasks to the nearest MEC server.

Step 3: Then, we perform task allocation using Optimal Greedy Solution to Collaborative Offloading (OGSCO).

Step 4: Next, we implement Stealing Slots for Emergency Tasks Scheduling Algorithm (SSETS).

Step 5: Then, we implement the Stealing Task for Emergency Tasks Scheduling Algorithm (SRETS).

Step 6: Next, we implement the full offloading tasks.

Step 7: Finally, we plot the following metrics:

7.1: Resource Utilization vs Number of Mobile Devices

7.2: Latency vs Number of Mobile Devices

7.3: Packet Delivery Ratio vs Number of Mobile Devices

Scenario-2:
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Step 1: Initially, we construct a SDN network with 60 – Mobile Devices, 1 – SDN controller (RYU), 5-MEC Server.

Step 2: Next, we allocate tasks by assigning tasks to the nearest MEC server.

Step 3: Then, we perform task allocation using Optimal Greedy Solution to Collaborative Offloading (OGSCO).

Step 4: Next, we implement Stealing Slots for Emergency Tasks Scheduling Algorithm (SSETS).

Step 5: Then, we implement the Stealing Task for Emergency Tasks Scheduling Algorithm (SRETS).

Step 6: Next, we implement the partial offloading tasks.

Step 7: Finally, we plot the following metrics:

7.1: Resource Utilization vs Number of Mobile Devices

7.2: Latency vs Number of Mobile Devices

7.3: Packet Delivery Ratio vs Number of Mobile Devices

Software Requirement:
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Development Tool:
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1) Mininet
3) Python

Note: –
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1. If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.

2. Please note that this implementation plan does not include any further steps after it is put into implementation.

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