Edge computing refers to the enabling technologies allowing computation to be performed at the edge of the Internet, i.e. in close proximity to mobile devices and sensors. Despite its promises to deliver highly responsive services for mobile computing, scalability and privacy-policy enforcement for the Internet of Things, and the ability to mask transient cloud outages, edge computing is still resource and energy intensive, which has become a critical issue. Thus, green edge computing aims to minimize the potentially negative influence of edge computing on the environment. The challenges including: elements and proportions contributing to the total energy consumption and waste emission; energy efficient architectures and resource management solutions; realistic energy consumption models for different parts of IoT systems; integration of renewable energy sources, smart grids, and wireless powered networks; the role of edge computing stakeholders in achieving this goal; the future research directions to enable green edge computing; etc.
This special issue will focus on (but is not limited to) the following topics:
- Energy-aware system architecture and network protocols for edge computing
- Energy efficient computing offloading in edge computing
- Energy efficient data caching/storage in edge computing
- Low-power data processing in edge computing
- Management of distributed energy generation/harvesting, storage and consumption for edge computing
- Machine learning and data-driven optimization for green edge computing
- Economic or performance trade-offs for edge computing
- Privacy protection and incentive mechanism for green edge computing
- Using recyclable or biodegradable materials instead of hazardous materials in industrial automation
- Applications for environmental sustainability, such as green transportation, green home and green building
Manuscript submission deadline: July 1 2021
Expected publication date (tentative): December, 2021
Prof. Zhiyong Yu, Fuzhou University, China, ([email protected])
Prof. Liming Chen, De Montfort University, UK ([email protected])
Prof. Sumi Helal, Lancaster University, UK ([email protected])
Prof. Zhiwen Yu, Northwestern Polytechnical University, China ([email protected])
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by other journals. 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.
Submit manuscripts to: http://PPNA.edmgr.com Select “Green Edge Computing” as the article type or when asked if the article is for a special issue. 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.
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Guest Editor bios:
Zhiyong Yu is a Professor at College of Mathematics and Computer Science, Fuzhou University, China from April 2011. He received his Ph.D. degree of Engineering in computer science and technology in 2011 from Northwestern Polytechnical University, China. He has been a visiting scholar at TELECOM SudParis from February 2012 to July 2013, and a visiting student at the Academic Center for Computing and Media Studies, Kyoto University, Japan from December 2007 to June 2009. His research interests cover pervasive computing, socially aware computing, mobile social networks, crowd sensing, urban computing, etc. He is a member of pervasive computing technical committee, CCF (China Computer Federation). He served as a guest editor of Future Generation Computer Systems, and Personal and Ubiquitous Computing, as a reviewer of ACM Transactions on Intelligent Systems and Technology, Transactions on Human-Machine Systems, Pervasive and Mobile Computing, etc., and a chair or member of program committee of IEEE International Conference on Ubiquitous Intelligence and Computing, etc.
Liming Chen is a Professor of Computer Science and the Head of the Context, Intelligence and Interaction Research Group (CIIRG) in the School of Computer Science and Informatics at De Montfort University, United Kingdom. He received his B.Eng and M.Eng from Beijing Institute of Technology (BIT), Beijing, China, and his Ph.D in Artificial Intelligence from De Montfort University, UK. He has worked as a senior research fellow at the School of Electronics and Computer Science (ECS), University of Southampton, and then a lecturer, a senior lecturer and a reader at the School of Computing and Mathematics, University of Ulster, before he took the Professorship at De Montfort University.
Sumi Helal is a Professor and Chair in Digital Health at Lancaster University, UK, where he leads interdisciplinary research initiatives in digital health in both the School of Computing and Communications (Faculty of Science and Technology) and the Division of Health Research (Faculty of Health and Medicine). As Director of Lancaster University’s Center on Digital Health and Quality of Life Technologies, he leads several active projects on Connected Health Cities, Healthy New Towns design and implementation, suicide prevention using cybernetics and analytics, Airport Accessibility for the hearing impaired, and intelligent primary care GP-Patient interactions. He is a board member and lead of the digital health infrastructure and strategies in the Fylde Whyndyke Garden Village – one of ten NHS England Healthy New Towns development project (a 1400-unit, green grass development which provides for a unique opportunity to embed health elements, by design, in public areas, neighborhoods, and the town community hub (school, wellness center and health care facility), to promote health and wellbeing, active and healthy living and ageing, prevent illnesses and improve people’s quality of life. Before joining Lancaster, Prof Helal was a Computer & Information Science and Engineering Professor at the University of Florida, USA, and Director of its Mobile and Pervasive Computing Laboratory. He co-founded and directed the Gator Tech Smart House, a real-world deployment project that aimed at identifying key barriers and opportunities to make the Smart Home concept a common place (creating the “Smart Home in a Box” concept). His active areas of research focus on architectural and programmability aspects of the Internet of Things, and on pervasive/ubiquitous systems and their human-centric applications with special focus on smart spaces, proactive health/wellness, patient empowerment and e-coaching, and assistive technology in support of personal health, aging, disabilities, and independence. Professor Helal served as the Editor-in-Chief of IEEE Computer (2015-2018), the Computer Society’s flagship and premier publication. He currently serves as member of the Board of Governors of the IEEE Computer Society, and Chair of its Magazine Operational Committee. Professor Helal is a Boilermaker (Ph.D., Purdue University, class of 1991), Fellow of the IEEE, Fellow of the IET, and a 2020 IEEE Computer Society President-Elect nominee. Contact him at [email protected]
Zhiwen Yu is currently a Professor of the School of Computer Science, Northwestern Polytechnical University, P. R. China. He received his B.Eng, M.Eng and Ph.D. degree of Engineering in computer science and technology in 2000, 2003 and 2005 respectively from the Northwestern Polytechnical University. He has worked as a research fellow at the Academic Center for Computing and Media Studies, Kyoto University, Japan from Feb. 2007 to Jan. 2009, and a post-doctoral researcher at the Information Technology Center, Nagoya University, Japan in 2006-2007. He has been a visiting researcher at the Context-Aware Systems Department, Institute for Infocomm Research (I2R), Singapore from Sep. 2004 to May 2005. He has been an Alexander von Humboldt Fellow at the Mannheim University, Germany from Nov. 2009 to Oct. 2010. He has published around 150 scientific papers in refereed journals and conferences, e.g., ACM Computing Surveys, IEEE TKDE, IEEE TMC, IEEE THMS, ACM TKDD, INFOCOM, UbiComp, PerCom, etc. His research interests cover pervasive computing, context-aware systems, human-computer interaction, mobile social networks, and personalization. Zhiwen Yu is a senior member of IEEE, a member of ACM, a distinguished member of CCF (China Computer Federation) and a senior member of CCF Pervasive Computing Technical Committee. He received the Young Teacher Award founded by Fok Ying Tong Education Foundation in 2014, the CCF Young Scientist Award in 2011, the CPSCom’13/GPC’12/AMT’12/UIC’09 Best Paper Award, the Humboldt Fellowship in 2008, and the CCF Excellent Doctoral Dissertation Award in 2006.