Advances, Systems and Applications
Table 2 Characteristics of routing-based load balancing techniques
From: An overview of QoS-aware load balancing techniques in SDN-based IoT networks
Application | Objectives | Architecture | Balance entity | LBa method | Network type | Year | Ref |
|---|---|---|---|---|---|---|---|
Multimedia | Delay, jitter, packet loss ratio | Centralized | Links | Routing | SDN-IoT | 2018 | [14] |
Large scale | Delay, security, accessibility | Centralized | Switches, middleboxes | Routing | SDN-IoT | 2018 | [79] |
Large scale | Scalability, security | Centralized | Fog resources | Rerouting | SDN-IoT/Fog | 2018 | [2] |
Industry | Delay, throughput, resource utilization | Centralized | Edge servers | Routing | SDN-IIoT | 2018 | [80] |
M2M | Response time | Centralized | Cloud server | Traffic detection and rerouting | SDN- M2M | 2018 | [32] |
Industry | Throughput, delay | Centralized | Cloud server | Routing | SDN-IoT | 2020 | [38] |
Large scale | Load-balancing | Distributed | Cloud servers | Routing | SDN-IoT | 2020 | [48] |
FANET | Throughput, packet delivery ratio, delay | Distributed | Flying nodes | Routing | SDN- Ad-Hoc | 2022 | [65] |
Health, Face recognition, lighting, and home sensor | Energy consumption, delay, cost | Centralized | Base stations | Routing | SD-WSN | 2022 | [67] |
- | Link utilization, overhead, throughput | Centralized | Links | Rerouting | SDN- DCN | 2022 | [81] |
Smart city | Throughput, energy consumption, delay | Centralized | Links | Rerouting | SDN- Fog | 2022 | [82] |
High traffic | Throughput, resource utilization, response time | Centralized | Cloud servers | Routing | SDN- DCN | 2022 | [83] |
Real-time | Resource utilization, response time, throughput | Distributed | Network flows | Routing | SD-IoT | 2023 | [84] |