Advances, Systems and Applications
From: An overview of QoS-aware load balancing techniques in SDN-based IoT networks
Application | Objectives | Architecture | Balance entity | LB method | Network type | Year | Ref |
---|---|---|---|---|---|---|---|
SG, Industry | Delay, packet delivery ratio | Centralized | Infrastructure | Demand response | SDN- AMI | 2018 | [99] |
Critical scenarios | Response time, packet loss ratio | Centralized | Gateways | Flow change | SDN- FoT | 2018 | [30] |
5G | Resource utilization, overhead | Centralized | Network slices | Network Function virtualization | SDN-NFV | 2020 | [100] |
Vehicles | Delay | Centralized | Cloud, Edge servers | Aggregation | SDN- Edge/Cloud | 2020 | [5] |
Smart City, Industry | Delay, packet delivery ratio, packet loss ratio | Distributed | Access points | Admission control | SDHW-IoT | 2021 | [101] |
Industry | Energy consumption, cost, run time | Centralized | Edge nodes | Placement of tasks | SDN-Cloud | 2021 | [6] |
- | Delay, load-balancing | Distributed | Controllers | Controller placement | SD-IoT | 2022 | [102] |