期刊论文

Zhang, SG

英文

IEEE INTERNET OF THINGS JOURNAL

2327-4662

2020

7

7

5792-5805

10.1109/JIOT.2019.2952767

Manuscript received August 29, 2019; revised October 16, 2019; accepted November 1, 2019. Date of publication November 11, 2019; date of current version July 10, 2020. This work was supported by the National Natural Science Foundation of China under Grant 61772554 and Grant 61772559. (Corresponding author: Shigeng Zhang.) M. Huang and A. Liu are with the School of Computer Science and Engineering, Central South University, Changsha 410083, China (e-mail: mingfenghuang@csu.edu.cn; afengliu@mail.csu.edu.cn).

本校为其他机构

Billions of devices are connected to the Internet of Things (IoT). These devices generate a large volume of data, which poses an enormous burden on conventional networking infrastructures. As an effective computing model, edge computing is collaborative with cloud computing by moving part intensive computation and storage resources to edge devices, thus optimizing the network latency and energy consumption. Meanwhile, the software-defined networks (SDNs) technology is promising in improving the quality of service (QoS) for complex IoT-driven applications. However, building SDN-based computing ...