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Welcome to Smart Edge-Cloud Computing Networks 2019

With the emerging of thriving range of new and diverse services, such as mobile multimedia, internet of things (IoT), and virtual reality (VR), the expectations towards service-tailored Quality of Experience (QoE) are also increasing, which poses new challenges on the service providers as well as on network operators. Edge-cloud computing networking (ECCN), which brings forward the technical benefits of cloud computing and edge computing with networking, will pave the way for enhanced QoE. It aims to utilize resource-rich cloud centers to offer high-computational capacity with moderate response time, exploit resources of edge of networks to offer intermediate computation and storage, reducing latency for users and bandwidth demands, and adopt advanced networking technologies, especially, network virtualization, to enable efficient network operations and service provisioning. Since both edge and cloud use networking, computing, and storage resources, and share many of the same mechanisms and attributes, the design and implementation of edge-cloud networks is non-trivial. There need to be appropriate coordination and tradeoff between edge and cloud computing. A smart approach of edge-cloud coordination can exploit the advantages of both edge and cloud computing. However, the edge-cloud coordination faces problems such as specification of control plane, resource allocation, traffic load balancing, orchestration of computing functions, smart edge sensing and processing, etc. This workshop aims to bring together researchers in the field of edge-cloud computing networking to exchange ideas and advance the research frontier.

Call for Papers

The workshop provides a forum for discussions of the theoretical foundations and original technical contributions of smart edge-cloud computing networks, by bringing together industry and academia, engineers and researchers. We invite submissions of the unpublished work on the following topics (but not limited to):

Topics of Interest (but not limited to):

  • Architecture and key techniques of smart edge-cloud computing networks;
  • Security and privacy issues in edge computing;
  • Communication between edges and central cloud;
  • Interactions between the edge and the cloud;
  • Artificial intelligence techniques in edge-cloud computing;
  • Load balancing and service selection at the edge;
  • Resource provisioning and metering of edge infrastructure;
  • Software defined networking (SDN) for edge computing;
  • Edge-based real time applications and quality of service;
  • Deployment and management of edge and cloud services;
  • Network function virtualization (NFV) at the edge;
  • Real-time context computing;
  • Hardware architectures for edge computing;
  • 5G-enabled applications/services;
  • Networking, e.g., from clients to the edge, and from the edge to the cloud;
  • Innovative services in edge-cloud computing networks, in particular for internet of things, smart sensing and artificial intelligence technology;
  • Mobility management techniques in edge computing.

  • Important Dates:

    Paper Submission Deadline: September 16, 2019 (Anywhere on Earth)
    Notification of Acceptance: October 4, 2019
    Camera-ready Version: October 15, 2019

    Submission Guidelines:

    Papers must be submitted via EasyChair in the following link:

    Submitted papers should be written in the English language, with a maximum page limit of 6 printed pages, including all the figures, references and appendices, and not published or under review elsewhere. Papers longer than 6 pages will not be reviewed. Use the standard IEEE Conference templates for Microsoft Word or LaTeX formats found at:

    Regardless of the source of your paper formatting, you must submit your paper in the Adobe PDF format. The paper must print clearly and legibly, including all the figures, on standard black-and-white printers. Reviewers are not required to read your paper in color.

    If the paper is typeset in LaTeX:
  • Please use an unmodified version of the LaTeX template IEEEtran.cls version 1.8, and use the preamble: \documentclass[10pt, conference, letterpaper]{IEEEtran}.
  • Do not use additional LaTeX commands or packages to override and change the default typesetting choices in the template, including line spacing, font sizes, margins, space between the columns, and font types. This implies that the manuscript must use 10-point Times font, two-column formatting, as well as all default margins and line spacing requirements as dictated by the original version of IEEEtran.cls version 1.8.

  • If you are using Microsoft Word to format your paper:
  • You should use an unmodified version of the Microsoft Word IEEE Transactions template (US letter size).

  • More information and template downloads can be found at the IEEE MASS main page.

    Workshop Organization

    Steering Committee

  • Geoffrey Fox, Indiana University Bloomington, USA
  • Massimo Villari, University of Messina, Italy
  • Ludmila Cherkasova, ARM Research, USA
  • Bruce Maggs, Duke University, USA
  • Hongyan Li, Xidian University, China
  • Ronghui Hou, Xidian University, China

  • General Chair

  • Haiying Shen, University of Virginia, USA

  • Program Co-Chairs

  • Yinghong Ma, Xidian University, China
  • Zhuozhao Li, University of Chicago, USA
  • Zhanfeng Zhao, Harbin Institute of Technology, China

  • Publicity Co-Chairs

  • Hongguang Sun, Northwest A&F University, China
  • Yi Jiao, Xi’an University of Posts & Telecommunications, China

  • Technical Program Committee

  • Husnu S. Narman, Marshall University, USA
  • Tanmoy Sen, University of Virginia, USA
  • Francesco Tusa, University College London, UK
  • Bin Shi, Xi'an Jiaotong University , China
  • Yan Zhang, Xidian University, China
  • Yanxia Liang, Xi’an University of Posts & Telecommunications, China

  • Biographies of Workshop Organizers

    Geoffrey Fox received the B.A. degree in Mathematics and Ph.D. degree in Theoretical Physics from Cambridge University in 1964 and 1967, respectively. He is now a distinguished professor of Informatics and Computing, and Physics at Indiana University where he is director of the Digital Science Center, Chair of Department of Intelligent Systems Engineering and Director of the Data Science program at the School of Informatics, Computing, and Engineering. His research interests include Health@SICE – Crosscutting, Intelligent Computer Engineering, Data Science, Computer Engineering, Cyber-physical Systems, and Intelligent Systems. He is a Fellow of APS (Physics) and ACM (Computing).

    Massimo Villari received his Ph.D. degree in Computer Science in 2003. He is currently a Full Professor in Computer Science and Head of Computer Science School at the University of Messina, Italy. Previously, he was an academic advisor of STMicroelectronics, helps an internship in Cisco Systems, in Sophia Antipolis, and worked on the MPEG4IP and IPv6-NEMO projects. He investigated issues related with user mobility and security, in wireless and ad hoc and sensor networks. His main research interests include virtualization, migration, security, federation, and autonomic systems.

    Ludmila Cherkasova is ACM Distinguished scientist with a 20+ year track record of innovative research, including development and productization of next-generation technologies. In 2018, she joined ARM Research, as a principal research scientist. Her current charter is to analyze future IoT technology trends, identify technology gaps, and initiate research projects to fill those gaps. Enable and exploit the future opportunities in IoT space and predict their effects on future ARM products. Closely collaborate with product development teams and a large network of external researchers in both industry and academia, to shape ARM efforts at the early stages of development. Engage with the academic network to influence innovative IoT research.

    Bruce Maggs received the S.B., S.M., and Ph.D. degrees in computer science from the Massachusetts Institute of Technology in 1985, 1986, and 1989, respectively. He is an American computer scientist and professor with Department of Computer Science, Duke University. His research interests include computer networks, distributed systems, and computer security. He was a founding employee and currently serves as Vice President for Research and Development for Akamai Technologies.

    Hongyan Li received the M.S. degree in control engineering from Xi’an Jiaotong University, Xi’an, China, in 1991 and the Ph.D. degree in signal and information processing from Xidian University, Xi’an, China, in 2000. She is currently a Full Professor with the State Key Laboratory of Integrated Service Networks, the School of Telecommunication Engineering, Xidian University. Her research interests include wireless networking, cognitive networks, integration of heterogeneous networks, mobile ad-hoc networks, ultra dense networks (UDN) in 5G and space networks. She has published over 80 papers in peer-reviewed journals and conference proceedings and received more than 20 authorized patents.

    Ronghui Hou received the B.E., M.E., and Ph.D. degrees in communication engineering from Northwestern Polytechnical University in 2002, 2005, and 2007, respectively. She was a Post-Doctoral Fellow with the Department of Electrical and Electronic Engineering, The University of Hong Kong, from 2007 to 2009. Since 2009, she has been with Xidian University, China. She is currently a Full Professor at the School of Cyber Engineering, Xidian University. Her research interests include wireless security, 5G security, and vehicular network security.

    Haiying Shen received the BS degree in Computer Science and Engineering from Tongji University, China in 2000, and the MS and Ph.D. degrees in Computer Engineering from Wayne State University in 2004 and 2006, respectively. She is currently an Associate Professor in the Department of Computer Science at the University of Virginia. Her research interests include distributed computer systems, cloud computing, big data and cyber-physical systems. She is a Microsoft Faculty Fellow of 2010, a senior member of the IEEE and the ACM.

    Yinghong Ma received the B.S. degree in Electronic Information Science & Technology and M.S. degree in Communication & Information system from North China Electric Power University, Hebei, Baoding, China, in 2003 and 2006, respectively, and the Ph.D. degree in Communications from Xidian University, Xi’an, Shaanxi, China, in 2011. She completed her two-year research and training as a Visiting Student between Oct. 2008 and Oct. 2010 in the Laboratory for Computational Neuroscience at University of Pittsburgh, Pittsburgh, PA, USA. She is currently an Associate Professor with the State Key Laboratory of Integrated Service Networks, the School of Telecommunications Engineering, Xidian University. Her research interests include mobile ad hoc networks, internet of things, edge computing, and network virtualization. She has served as a session chair of the IEEE/CIC ICCC 2017.

    Zhuozhao Li received the B.E. degree in Optical Engineering from Zhejiang University, China in 2010, the M.S. degree in Electrical Engineering from University of Southern California in 2012, and the Ph.D. degree in Computer Science from University of Virginia in 2018. He is currently a postdoc in Globus Lab at University of Chicago. His research interests include Computer Networks, Cloud/Edge Computing, Distributed Systems, and Internet of Things. His current research focuses on resource management in clouds and big data frameworks.

    Zhanfeng Zhao received the M.S. and Ph.D. degrees in communication and information systems from Harbin Institute of Technology, Harbin, China in 2005 and 2010, respectively. He is currently an Associate Professor with the School of Information Science and Engineering, Harbin Institute of Technology, Weihai. His research focuses on image processing, space laser communication, channel coding and decoding, embedded system such as DSP and FPGA, analytical Instruments, wire-cut electrical discharge machining, mmWave Radar. He has published over 20 papers in journals and conference proceedings.

    Hongguang Sun received the B.S. degree in electronic and information engineering from Northeastern University in 2009, and the Ph.D. degree in communication and information systems from Xidian University, Xi’an, China, in 2015. He completed one-year research and training as a Visiting Student with the Singapore University of Technology and Design, Singapore, in 2015. He is currently an Associate Professor with the School of Information Engineering, Northwest A&F University. His research interests include dynamic resource management, D2D communications, ultradense networks, performance analysis in heterogeneous wireless networks, Internet of Things (IoTs) and applying tools from probability theory and stochastic geometry. He served as a Technical Program Committee Member for the Wireless Communications Systems Symposium of the IEEE/CIC ICCC 2016, and for the Mobile Network Applications and Services Track of the IEEE VTC 2017-Spring.

    Yi Jiao has a Ph.D. degree from Xidian University, Xi’an, Shaanxi, China, in 2012. He is currently an Assistant Professor with the School of Communication and Information Engineering, Xi’an University of Posts & Telecommunications, China. His research interests include mobile ad hoc networks, internet of things, edge computing, and network virtualization.