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Automatika

Call for papers

Automatika

Table of Contents for Automatika. List of articles from both the latest and ahead of print issues.

Language: en-US

Publisher: tandf

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Edge computing is proposed as a new computing paradigm where resources like computation and storage are placed closer to data and information source. On one hand, edge computing helps cloud to extend its services to the edge of the network, which improves the response time and user experience. On the other hand, the developing of Internet of Things (IoT) leads to huge amount of data generated on the user side and there are also a lot of smart devices available, it is a natural way to process data on the edge. In a word, edge computing paradigm greatly saves the bandwidth of the backbone network and improves the end-to-end latency. It brings new possibilities for complex applications, intelligent services, novel security and privacy solutions, especially for the researches which depend on the huge amount of data.

However, to embrace the promising Edge Computing, there are many challenges in enabling technologies, such as design, implementation, and deploy aspects, as well as useful applications and services. Specifically, the challenges include infrastructure and network support, cooperation/interaction with cloud, computation and communication trade-off, operating system for managing heterogeneous resources and workloads, system deploy and application design, programming paradigms, security and privacy, and so on. The aims of this Special Section are to present the state-of-the-art research in the area of Edge computing and services and to provide a forum for experts to disseminate their recent advanced works, views and ideas on future directions in this field.

Submission deadline:
1 Aug. 2019

Author Notification:
1 Oct. 2019

Final Manuscript:
31 Dec. 2019

Publication:
1 March 2020
(Subject to change at journal's discretion)

Submissions guidelines


Papers must be tailored to the problems of edge computing technologies, applications and services. The editors maintain the right to reject papers they deem to be out of scope of this special issue. Only originally unpublished contributions and invited articles will be considered for the issue. The papers should be formatted according to established guidelines.

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Open Access


Open Access (OA) means your research is free to access online as soon as it is published, meaning anyone can read (and cite) your work. Increase readership, impact beyond your field, and retain the copyright to your article.

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Topics relevant to this special issue include but are not limited to:

  • Quality of Service in Edge Computing
  • Pricing and Billing in Edge Computing
  • Intelligent and Adaptive Techniques in Edge Computing
  • Edge Analytics
  • AI at the Edge
  • Swarm intelligence in Edge Computing
  • Benchmarks and simulation system for Edge Computing
  • Programming Paradigms for Edge Computing
  • Quality of Service in Edge Computing
  • Pricing and Billing in Edge Computing
  • Intelligent and Adaptive Techniques in Edge Computing
  • Edge Analytics
  • AI at the Edge
  • Swarm intelligence in Edge Computing
  • Benchmarks and simulation system for Edge Computing

Guest Editors:

Prof. Honghao Gao, Shanghai University, China/ Research Fellow, Central Michigan University, USA


Dr. Honghao Gao received the Ph.D. degree in Computer Application Technology from the School of Computer Engineering and Science, Shanghai University, China, in 2012. He is currently an Associate Professor with the Computing Center of Shanghai University, and is engaged as a Supervisor of Master Students with the School of Computer Engineering and Science of Shanghai University, China. Dr. Gao is EAI Fellow, IEEE Senior Member, CCF Senior Member, and CAAI Senior Member. In addition, Dr. Gao is a Research Fellow with the Software Engineering Information Technology Institute of Central Michigan University, USA, and is working as a Part-time Master's Supervisor for Hainan University and Shanghai University of Electric Power, China. Dr. Gao's research interests include service computing, model checking-based software verification, and sensors data application. His researches are supported by National Natural Science Foundation of China (NSFC), Natural Science Foundation of Shanghai (NSFS), CERNET Innovation Project, and Foundation of Science and Technology Commission of Shanghai Municipality. Recently, Dr. Gao is also a senior scientist in Soochow Institute of Shanghai University, researching intelligent wireless locks of OFO bicycle for the sharing economy industries. Until now, he has approximately 30 publications in professional journals and more than 20 publications in scientific conferences, and has obtained 13 patent applications and registered 8 software copyrights in China, such as IEEE TCSS、IEEE ACCESS、FGCS、IJDSN、IJSEKE、IJCM、JIT、WCMC、AMIS. Now, Dr. Gao is an editor of IJIITC, associate editor of IEEE ACCESS, associate editor of IET Software, associate editor of Wireless Network, associate editor of The Journal of Engineering, a research council member of IJSEKE, and a candidate for editorial board of IJEBM and EIS. He organized international conferences and workshop for FMSC2011-2018, DISA2012/2017-2018, SSIA2017-2018,CollaborateCom 2018-2019, TRIDENTCOM 2018-2019, MobiCASE 2019. He is a Steering Committee for IEEE/ACIS International Conference on Computer and Information Science (ICIS), and IEEE/ACIS International Conference on Software Engineering Research, Management and Applications(ACTI). 

Prof. Wenbing  Zhao, Cleveland State University, Ohio, USA


Dr. Zhao is a Professor at the Department of Electrical Engineering and Computer Science, Cleveland State University, USA. He got his BS and MS degrees from the Physics Department in Peking University. He earned his Ph.D. at University of California, Santa Barbara in 2002. He has over 180 peer-reviewed publications and a research monograph titled “Building Dependable Distributed Systems”. Dr. Zhao’s research spans from dependable distributed systems to human centered smart systems. His research has been funded by the US NSF, US Department of Transportation, Ohio Bureau of Workers’ Compensation, Ohio Department of Higher Education, the Ohio Development Services Agency, and Woodruff Foundation. He has delivered more than 10 keynotes, tutorials, public talks and demonstrations in various conferences, industry and academic venues. Dr. Zhao is an associate editor for IEEE Access, MDPI Computers, and PeerJ Computer Science, and a member of the editorial board of several international journals, including Applied System Innovation, Internal Journal of Parallel, Emergent and Distributed Systems, and International Journal of Distributed Systems and Technologies. He is currently an IEEE Senior Member and serves on the executive committee of the IEEE Cleveland Section.

Prof. Xinheng Wang, University of West London, London, UK


Dr. Wang is currently a professor of computing at University of West London, UK. He is also coordinating the research and enterprise activities for School of Computing and Engineering. He has broad working experience in England, Wales and Scotland, where he has gained some deep knowledge of local life and culture in the UK. His research experience is also broad. He has worked on power system conditioning monitoring, mobile healthcare, wireless networking, indoor positioning and big data analytics. Along with more than 20 research projects he has investigated, his research in each area has led to an industrial product. For example, his methodology in cable fault detection and location has resulted in a device used in South Korea; his research and development in wireless mesh and sensor networks has been commercialized in the UK; currently he is working with an IT pioneer to develop the first smart trolley in the world used for intelligent airport services, which is being used by more than ten airports in China. Prof. Wang is an IEEE senior member. He is also serving as a member of EPSRC Peer Review College and an expert to review and monitor EU projects. Over the years, he has published more than 70 referred journal papers and dozens of conference papers. He has 11 granted patents in the area of indoor positioning, networking, and big data analytics. He has also received four technical awards.

Prof. Gongzhu Hu, Central Michigan University , USA


Gongzhu Hu received BS in numeric analysis from Tsinghua University, China, MS in computer science from the University of Wisconsin-Madison, and PhD in computer science from Michigan State University. He joined the Computer Science Department at Central Michigan University in 1987 and is currently a professor of the department. He was the department chair from 1994 to 2007. His research interests include data mining, databases, distributed systems, and formal methods for software components. He has published over 160 papers in refereed journals and conference proceedings. Dr. Hu has served as the conference chair or program chair of many international conferences, and a member of the editorial board of the several international journals. He is a member of ACIS, ACM, a senior member of IEEE, and a senior member of ISCA. Dr. Hu served as the President of ACIS from 2010-2017, and a member of Board of Directors of ACIS and ISCA.

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