Advances, Systems and Applications
Table 6 Characteristics of migration-based load balancing techniques
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 |
|---|---|---|---|---|---|---|---|
Health | Response time, packet delivery ratio, delay, throughput | Centralized | Controllers | Job migration | SDN- Edge | 2020 | [26] |
High traffic | Response time, communication overhead | Distributed | Fog server, Controller | Switch migration | SDN- Edge | 2020 | [37] |
5G | Response time, resource utilization | Distributed | Cloud server, Controller | Switch migration | SDN-IoT (Cloud) | 2021 | [25] |
Dynamic scenarios | Response time, load-balancing, cost | Distributed | Controllers | Switch migration | SDN-IoT | 2021 | [52] |
Vehicles | Delay, load-balancing | Distributed | Controllers | Switch migration | SD-VN | 2021 | [12] |
Vehicles | Resource utilization, throughput, response time | Distributed | Range of switches | Switch migration | SDN/NFV -IoT | 2022 | [90] |
Real-time | Response time, migration cost | Distributed | Controllers | Switch migration | SD-IoT | 2022 | [91] |
Real-time | Delay, CPU utilization, Response time, cost | Distributed | Controllers | Switch migration | SDN-IoT | 2023 | [43] |