Performance Analysis of Energy Efficient Allocation in Edge Computing using iFogsim
Title:- An intelligent Bin Packing Approach based energy efficient allocation for mobile edge computing
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Implementation Plan:
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Step 1: Initially, we create a network topology consisting of a Fog computing environment designed in IFogSim with 15-Mobile devices, 3- Gateway, 3-fog cluster, and single cloud.
Step 2: Next, we implement the data collection and processing step using PCA SGD.
Step 3: Next, we implement the decision making method using the Hybrid Heuristic Deep MCF approach.
Step 4: Next, we implement the Multi-objective Evolutionary algorithm (MOE) to balance conflicting objectives to improve the decision making performance
Step 5: Next, we implement the energy-efficient allocation using the LC-WOA with Bin Packing approach to minimize energy consumption
Step 6: Next, we implement the feedback mechanism using Bandit learning to adapt resource allocation methods to optimize energy use .
Step 7: Finally, Performance Metrics will be plotted for the following:
7.1: Number of Devices vs Energy efficiency
7.2: Number of Devices vs Scalability
7.3: Number of Devices vs Throughput
7.4: Number of Devices vs Cost efficiency
7.5: Time (s) vs CPU usage (%)
Software Requirement:
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1. Tool: Netbeans-12.3
2. IFOGSIM
3. JDK 21
4. Language: JAVA
5. OS: Windows 10 – [64-bits]
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.
3) This project is only based on simulations. Not a real time project.
4) If the above plan satisfies your requirement please confirm with us.
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1. #PerformanceAnalysis
2. #EnergyEfficientAllocation
3. #EdgeComputing
4. #iFogsim
5. #EfficiencyMatters
6. #OptimizedPerformance
7. #SmartEdgeComputing
8. #CloudComputing
9. #ResourceAllocation
10. #RealTimeProcessing
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