Observing the great potential of both edge computing and the newly emerging networking technologies, one developing trend is to integrate these networking technologies into edge computing. For example, it is widely agreed that edge computing is an ideal platform to host the virtualized network functions (VNFs) such that various networking services can be provided at the network edge, fastening the data packet processing and improving the quality-of-service. ICN is in the principle of distributing and services for fast access. This naturally fits the features of edge computing, as which intends to provision cloud services, either storage or computing, at the network edge.
However, at the early stage of edge computing and the above mentioned newly emerging networking technologies, still there are many challenging issues to be addressed for the integration of them. Therefore, it is significant to investigate how to integrate these new networking technologies into edge computing for more efficient resource usage and better service provision. To this end, this special issue is intended to collect the-state-of-the-art representative studies in edge computing and emerging networking technologies from different aspects, e.g., architecture design, protocol design, resource allocation, task scheduling, network flow management, etc. The topics of interest include, but not limited to, the following categories:
- New networking technology and edge computing enabled future network architectures
- Trends and challenges of integrating new networking technologies and edge computing
- The role of SDN, NFV and ICN in edge computing
- Edge computing in future networks
- Information-centric service provision and data access in edge computing
- Future networking technologies enabled edge computing
- Resource allocation and optimization of edge computing in future networks
- Reliability and availability, mobility and connectivity in edge computing
- Performance efficiency, cost efficiency and energy efficiency in edge computing
- Integrating SDN and NFV in edge computing
- Computation offloading supported by future networking technologies in edge computing
- Designs and optimizations for the integration edge computing and ICN
- Security and privacy edge computing and future networks
- Big data for edge computing and future networks
- Interdisciplinary research for edge computing and future networks
- Standards, policies, and regulations for information-centric edge computing and caching
- Application design supported by edge computing and future networks
Deze Zeng, China University of Geosciences, Wuhan, China
Geyong Min, University of Exeter, United Kingdom
Qiang He, Swinburne University of Technology, Australia
Song Guo, The Hong Kong Polytechnic University, Hong Kong
Submission deadline: Oct. 31, 2020
Author Notification: Dec. 31, 2020
Revised Manuscript Due: 27 October 2020
Final Manuscript: Dec. 31, 2020
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals. Springer offers authors, editors and reviewers of Peer-to-Peer Networking and Applications a web-enabled online manuscript submission and review system. Our online system offers authors the ability to track the review process of their manuscript. This online system offers easy and straightforward log-in and submission procedures, and supports a wide range of submission file formats. Manuscript should be submitted to: http://PPNA.edmgr.com. Choose “SI: Convergence of Edge Computing and Next Generation Networking” as the article type.
All papers will be reviewed following standard reviewing procedures for the Journal.
Papers must be prepared in accordance with the Journal guidelines: www.springer.com/12083
Springer provides a host of information about publishing in a Springer Journal on our Journal Author Resources page, including FAQs, Tutorials along with Help and Support.
Other links include:
Part II – Biographies
Deze Zeng is currently a Full Professor in School of Computer Science, China University of Geosciences, Wuhan, China. He received his Ph.D. and M.S. degrees in computer science from University of Aizu, Aizu-Wakamatsu, Japan, in 2013 and 2009, respectively. He received his B.S. degree from School of Computer Science and Technology, Huazhong University of Science and Technology, China in 2007. His current research interests include: network function virtualization, software-defined networking, cloud computing and edge computing. He has authored 1 book and over 80 papers in refereed journals and conferences in these areas. He also received 3 best paper awards from IEEE/ACM conferences and the IEEE Systems Journal Annual Best Paper Award of 2017. He serves in editorial boards of Journal of Network and Computer Applications and guest editors of many prestigious journals. He has been the in organization or program committees of many international conferences including ICPADS, ICA3PP, CollaberateCom, MobiQuitous, ICC, Globecom. He is a member of IEEE.
Geyong Min is a Professor of High Performance Computing and Networking in the Department of Computer Science within the College of Engineering, Mathematics and Physical Sciences at the University of Exeter, United Kingdom. He received the PhD degree in Computing Science from the University of Glasgow, United Kingdom, in 2003, and the B.Sc. degree in Computer Science from Huazhong University of Science and Technology, China, in 1995. His research interests include Future Internet, Computer Networks, Wireless Communications, Multimedia Systems, Information Security, High Performance Computing, Ubiquitous Computing, Modelling and Performance Engineering. Prof. Min has served as the Editorial Board Members of the following Journal Special Issues:
- Guest Co-Editor, ACM Transactions on Intelligent Systems and Technology, Special issue on Intelligent Edge Computing for Cyber Physical and Cloud System (Editors: W. Jia, G. Min, Y. Xian, A.K. Sangaiah), 2018.
- Guest Co-Editor, IEEE Transactions on Sustainable Computing, Special issue on Intelligent Data Analysis for Sustainable Computing (Editors: Y. Wu, Y. Pan, N. Georgalas, G. Min), 2018.
- Guest Co-Editor, IEEE Access, Special issue on Wireless Caching Technique for 5G (Editors: X. Zhang, Z. Chen, G. Min, T.Q.S. Quek, Y. Li, Z. Su), 2017.
- Guest Co-Editor, IET Wireless Sensor Systems, Special issue on Advances in Internet of Things for Healthcare Systems (Editors: P. Yang, G. Min, H. Chen, J. Cao), 2016
- Guest Co-Editor, ACM Transactions on Embedded Computing, Special issue on Challenges of Embedded Systems as it evolves into M2M, Internet-of-Things (Editors: S. Rho, W. Rahayu, G. Min), 2015.
- Guest Co-Editor, Multimedia Tools and Applications, Special issue on Data Mining and Machine Learning Technologies for Multimedia Information Retrieval and Recommendation (Editors: C. Lee, G. Min, W. Chen), 2016.
- Guest Co-Editor, Journal of Computers and Electrical Engineering, Special issue on Ubiquitous Computing and Communications Technologies (Editors: J. Hu, G. Min, M. Xia), vol. 40, no. 2, pp. 673-674, 2014.
- Guest Co-Editor, International Journal of Communication Systems, Special issue on Complex Communication Networks (Editors: Z. Chen, L. Yang, G. Min), vol. 27, no. 9, pp. 1217-1219, 2014.
- Guest Co-Editor, Telecommunication Systems, Special Issue on Scalable Computing and Communications, (Editors: G. Min, A.Y. Al-Dubai, J. Hu, J Gao), vol. 55, no. 3, pp. 331332, 2014.
- Guest Co-Editor, Multimedia Tools and Applications, Special Issue on Advances in Multimedia and Ubiquitous Technologies for the New Era, (Editors: S. Yeo, G. Min, W. Chen), vol. 63, no. 1, pp. 1-5, 2013.
Dr. Qiang He is a Senior Lecturer at Swinburne University of Technology. He received his first PhD degree from the Swinburne University of Technology, Australia, and the second PhD degree as well his BSc degree from Huazhong University of Science and Technology, China. Dr. He’ research interests mainly include edge computing, cloud computing, software engineering, and service computing. He has authored or coauthored papers published on leading conferences and journals, including IEEE TPDS, IEEE TSE, IEEE TCC, IEEE TSC, IEEE TBD, IEEE ICSE, WWW, ICDE, IJCAI, ICDM, ICSOC, ICWS and CLOUD.
Song Guo is a Full Professor and Associate Head at Department of Computing, The Hong Kong Polytechnic University. Before joining PolyU, he was a professor at the University of Aizu, Japan. He obtained his PhD degree in Computer Science from University of Ottawa, Master’s degree in Computer Engineering from Beijing University of Posts and Telecommunications, and Bachelor degree in Computer Software from Huazhong University of Science and Technology. His research interests are mainly in the areas of big data, cloud computing, mobile computing, and distributed systems. Some of his Transactions papers were selected as Featured or Spotlight papers. He is the recipient of the 2019 IEEE TCBD Best Conference Paper Award, 2018 IEEE TCGCC Best Magazine Paper Award, 2019 & 2017 IEEE Systems Journal Annual Best Paper Award, and other 6 Best Paper Awards from IEEE/ACM conferences. His work was also recognized by the 2016 Annual Best of Computing: Notable Books and Articles in Computing in ACM Computing Reviews. Prof. Guo is an IEEE Fellow (Computer Society) and the Editor-in-Chief of IEEE Open Journal of the Computer Society. He was a Distinguished Lecturer of IEEE Communications Society (ComSoc) and served in the IEEE ComSoc Board of Governors. Prof. Guo has been named on editorial board of a number of prestigious international journals like IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Cloud Computing, IEEE Transactions on Emerging Topics in Computing, etc. He has also served as chairs of organizing and technical committees of many international conferences.
Part III – Additional Material
The recent hotness of cloud computing, edge computing, next-generation networking, 6G, blockchain, etc., obliviously implies the convergence trend of edge computing and next-generation networking technologies. Many related works can be seen from the literature published recently. But there are still many challenging issues on how to systematically embed these existing technologies to build a future distributed system and how to efficiently explore these technologies for elastic, efficient and intelligent management of communication and computation resources in a joint manner. Therefore, by disseminate the CFP in some major mailing lists, posting on social networks or CFP publishing platforms (e.g., LinkedIn, Facebook, WeChat, WikiCFP, etc.), plus the high influence and attractiveness of ETT, we are able to attract many submissions from open call.
Besides, the leading guest editor serves as the track chair of Next Generation Networking and Internet of IEEE/CIC International Conference on Communications in China (ICCC) 2020. All the guest editors have done some influential work in this area, as indicated in Part II. We will select and invite some high-quality work from ICCC 2020. The invited authors will be asked for at least 30% significant extension to their conference version.