Edge server placement and allocation optimization: a tradeoff for enhanced performance

Engineering

• Particle Swarm Optimization 100%
• Mobile Edge Computing 100%
• Sum Method 100%
• Design Objective 50%
• Desired Result 50%
• Pareto Front 50%
• Fitness Function 50%
• Edge Computing 50%
• Convex Problem 50%
• Non-Dominated Sorting Genetic Algorithm II 50%
• Network Edge 50%
• End-Users 50%
• Optimal Point 50%
• Internet-Of-Things 50%

INIS

• performance 100%
• allocations 100%
• optimization 100%
• comparative evaluations 57%
• solutions 42%
• weight 28%
• data 28%
• evaluation 28%
• yields 28%
• particles 28%
• reduction 28%
• design 14%
• volume 14%
• convergence 14%
• energy consumption 14%
• expansion 14%
• demand 14%
• cost 14%
• algorithms 14%
• internet 14%
• utilities 14%
• transmission 14%

Computer Science

• Multiobjective 100%
• Edge Server 100%
• Particle Swarm Optimization 33%
• Latency Reduction 33%
• Biogeography Based Optimization 33%
• Multi-Access Edge Computing 33%
• Weighted Sum Method 33%
• Utility Software 16%
• Non-Dominated Sorting Genetic Algorithm II 16%
• Edge Computing 16%
• Energy Consumption 16%
• Fitness Function 16%
• Average Latency 16%
• Variance Reduction 16%
• Optimisation Objective 16%
• Internet-Of-Things 16%