Collection

IoT Intelligent Resource Orchestration

In recent years, with the development of lightweight virtualization, edge computing, and other technologies, Internet of Thing (IoT) has become an important digital infrastructure to support modern production and life. One of the key links, software-defined networking (SDN), enables flexible control of network traffic and provides a good platform for innovation in core networks and applications. SDN, as an emerging key technology for pushing IoT development, can effectively improve the programmability of IoT. The traditional network model of IoT device nodes has limited computing and storage resources and is very sensitive to resource consumption. In this context, it is of great theoretical significance and practical value to conduct in-depth research on IoT-oriented resource scheduling using machine learning, deep learning, and other intelligent algorithms. This special issue aims to explore the challenges and opportunities in intelligent resource orchestration for IoT.

Keywords: IoT resource orchestration; virtual networks; machine learning; deep learning

Editors

  • Peiying Zhang

    Prof. Peiying Zhang, China University of Petroleum, China Peiying Zhang is currently an Associate Professor with the College of Computer Science and Technology, China University of Petroleum (East China). He received his Ph.D. in the School of Information and Communication Engineering at University of Beijing University of Posts and Telecommunications in 2019.

  • Muhammad Zakarya

    Prof. Muhammad Zakarya, Sohar University, Sultanate of Oman Muhammad Zakarya is currently an Assistant Professor with the Faculty of Computing and Information Technology (FCIT), Sohar University, Sultanate of Oman. Previously, he was an Assistant Professor with the Department of Computer Science, Abdul Wali Khan University Mardan (AWKUM), Pakistan. He received the PhD degree in Computer Science from the University of Surrey, Guildford, U.K. His research interests include cloud computing, mobile edge clouds, Internet of Things (IoT), performance, energy efficiency, algorithms, and resource management.

  • Guanjun Xu

    Prof. Guanjun Xu, East China Normal University, China Guanjun Xu is a professor with the School of Communication and Electronic Engineering, East China Normal University. He has received the B.E. degree in electronic engineering from Chaohu University, Hefei, China, in 2010, the M.E. degree in communication and information systems from the Southwest University of Science and Technology, Mianyang, China, in 2013, and the Ph.D. degree in information and communication engineering from the Harbin Institute of Technology, China, in 2017.

Articles

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