Edge Computing in the Industrial Internet of Things Environment: Software-Defined-Networks-Based Edge-Cloud Interplay

By Kuljeet Kaur, Sahil Garg, G. Aujla, Neeraj Kumar, Joel J. P. C. Rodrigues, Mohsen Guizani. IEEE Communications Magazine, 2018

309 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b0d8a3494337bd9e92a1c44a654d7343a04b1cf1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Wei Yu
2. Mugen Peng
3. Yong Ren
4. JingJing Wang
5. Lajos Hanzo
6. Halim Yanikomeroglu
7. Chunxiao Jiang
8. Tie Qiu

In Electrical and Electronic Engineering

1. Halim Yanikomeroglu
2. Abbas Yongaçoglu
3. Wei Yu
4. Mugen Peng
5. JingJing Wang
6. Lajos Hanzo
7. Chunxiao Jiang
8. Mohammad Ghadir Khoshkholgh

Citations in the corpus

• Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things (2020, methodology): “[141] presented an SDN-based edge-cloud interplay for handling streaming big data in the edge computingenabled IIoT environment.”
• Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks (2019, background): “Although the IoT faces a range of reliability, robustness and security challenges, there is no doubt that it will make our world ever smarter [151], [152].”
• Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges (2020, methodology): “In order to reduce the congestion of the edge network, SDN-based Edge-cloud Interplay Scheme (SEIS) [58] uses the multi-objective evolutionary algorithm based on Chebyshev decomposition, considering the balance between energy efficiency and delay, as well as the balance between energy efficiency and…”
• A Vision and Framework for the High Altitude Platform Station (HAPS) Networks of the Future (2020, background): “For example, SDN decouples the data and control planes from each other in order to reduce network control complexity [228].”
• A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective (2018, background): “[96] investigated an edge-cloud integration to support big data streaming services in I-IoT.”