Advances, Systems and Applications
Table 1 Task scheduling in fog and cloud computing
From: An efficient population-based multi-objective task scheduling approach in fog computing systems
Ref. | Cloud/ Fog | Optimization method | Optimization criteria | Mobility |
|---|---|---|---|---|
[19] | Cloud | GA | Makespan and load balancing | No |
[20] | Cloud | GA and PSO + (SJFP) | Makespan | No |
[21] | Cloud | Canonical PSO and fully-informed PSO | Throughput and delay | No |
[22] | Cloud | ABC + (FCFS, SJF, LJF) | Makespan and load balancing | No |
[23] | Cloud | IWC (Improved WOA) | Execution time, system load, and price cost | No |
[24] | Cloud | WOA | Makespan, deadline, and resource utilization | No |
[25] | Fog | Moth-flame | Execution time, transfer time, and makespan | No |
[26] | Fog | Knapsack + symbiotic organisms search | Energy consumption, execution cost, total network usage, and sensor lifetime | No |
[27] | Fog | Hybrid heuristic (IACO + IPSO) | Completion time, energy consumption, and reliability | No |
[28] | Fog | NSGA-II | Service latency and stability | No |
[29] | Fog | Lyapunov optimization | Service delay and energy consumption | No |
[30] | Fog | Ant Colony | Energy consumption, resource consumption, and total completion task | No |
[31] | Fog | GA | Execution time and operating cost | No |
[32] | Fog | Bees Life | Execution time and allocated memory | No |
[33] | Fog | GA + Gaussian Mixture Model | Temperature of CDC, latency, energy, and bandwidth | No |
[34] | Fog | Deep Reinforcement learning | Energy consumption, response time, migration time, SLA violations and cost | No |
[35] | Fog | Deep Reinforcement learning | Average energy consumption of IoT device and response delay | No |
[36] | Fog | Lyapunov optimization + drift-plus-penalty | Time-average and energy consumption | No |
[37] | Fog | Adaptive GA | Offloading success rate and energy consumption | Yes |
[38] | Fog | - | Energy consumption | Yes |
[39] | Fog | - | Delay and power consumption | Yes |
Our work | Fog | WOA+OB learning + chaos | Response delay and energy consumption | No |