Theory and Practice for Integrated Cloud,
Fog and Edge Computing Paradigms - TOPIC 2018

In conjunction with the 37th ACM Symposium on Principles of Distributed Computing (PODC 2018)

Royal Holloway, University of London, Egham, UK
27 July 2018


Proliferated adoption of IoT has given rise to the fog and edge computing paradigms. As opposed to cloud computing, both fog and edge computing allow computation on data taking place closer to end users, thus improving data privacy and application performance. Nevertheless, the cloud will always exist to provide the last resort for computationally heavy tasks. The aim of this workshop is to capture and present research from a wide range of emerging topics related to modelling, designing and analysing of integrated cloud, fog, and edge computing paradigms. These have different ownership and operating objectives, preventing delivery of seamless network services across network/operator boundaries that is needed to support efficient pervasive and ubiquitous computing. For instance, it is difficult, if not impossible, to run operator A's content caching, data analytics and/or packet inspection services in operator B's cloud/fog/edge networks. Conventional techniques for cloud do not work well in such an emerging integrated environments since they make assumptions about unified networks and systems with highly reliable and low latency connectivity.

This workshop aims to bring together practitioners and theoreticians characterise such cloud, fog, and edge integrated systems, and to explore theoretical underpinning necessary for modelling, designing, analysing and optimising of networks and systems that have heterogeneous connectivity (e.g., intermittent and highly reliable), owned by different owners and operators, for supporting pervasive and ubiquitous computing. Since there is no single organisation can control all of the devices across all networks, we anticipate that there will be strong need for addressing the gap on policy enforcement, billing and access to data, etc. Security and privacy issues will also need tackling due to the need for business secrecy.

Relevant topics include but are not limited to:

  • Underpinning theory for integrated cloud, fog and edge
  • Distributed algorithms
  • SDN and NFV for cloud, fog and edge
  • Distributed and decentralised system configuration and management
  • Cross layer design and optimisation
  • Systems and networks co-design
  • Experience on integrated cloud, fog and edge deployment
  • Big data analytics for IoT
  • Simulation and performance evaluation
  • Cross cloud, fog, and edge network policy management
  • Cross cloud, fog, and edge security and privacy
  • Compact routing

We invite academic and industrial practitioners to submit papers for this workshop. Potential authors can contact the workshop organisers with a draft abstract if they would like to confirm it is within scope and relevance to this workshop.

Paper Submission

We invite regular papers written in English that have not been published or submitted for publication elsewhere. We also invite short research statements that outline new emerging ideas for fostering discussion and collaboration in the workshop. Submitted manuscripts should be structured as technical papers and may not exceed 6 pages for regular papers and 3 pages for short research statements including figures, tables and references using the templates available at

  • Electronic submission only (via submission server)
  • Submission requires the willingness of at least one of the authors to register and present the paper
  • All selected papers for this workshop are peer-reviewed and will be published in ACM Digital Library

To submit your paper, please access the submission system at: TOPIC 2018 Submission System

Important Dates

Paper submission due: 29th April 2018 14th May 2018
Notification of acceptance: 28th May 2018
Final camera-ready papers due: 4th June 2018
Workshop date: 27th July 2018

Workshop Co-Chairs

Posco Tso - Loughborough University, UK

Amitabh Trehan - Loughborough University, UK

Iain Phillips - Loughborough University, UK

Lin Cui - Jinan University,China

Publicity Chair

Thiago Genez - University of Bern, Switzerland

Technical Programme Committee

Luiz Bittencourt - University of Campinas, Brazil

Rafael Gomes - State University of Ceara, Brazil

Kiho Lim – University of South Dakota, USA

Edmundo Madeira - University of Campinas, Brazil

Lars Nagel – Loughborough University, UK

Stephen Strowes – RIPE Network Coordination Centre, Netherlands

Eiko Yoneki – University of Cambridge, UK

Zhongliang Zhao - University of Bern, Switzerland

Michael Mackay - Liverpool John Moores University, UK

Jonas Lefevre - Loughborough University, UK

Takahiro Shinagawa - University of Tokyo, Japan

Erkki Harjula - University of Oulu, Oulu, Finland

Keynote Speakers:

Prof. Dr. Christian Scheideler. Prof. Scheideler received his M.S. and Ph.D. degrees in computer science from the Paderborn University, Germany, in 1993 and 1996. After being a postdoc at the Weizmann Institute, Israel, for a year, a postdoc at Paderborn for two more years, an assistant professor at Johns Hopkins University, USA, for five years, and an associate professor at the Technical University of Munich, Germany, for four years, he is now a full professor at the Dept. of Computer Science, Paderborn University, and has served as the department chair from 2013 to 2017. He is (co)author of more than 100 publications in refereed conferences and journals and has served on more than 50 conference committees. His main research focus is on distributed algorithms and data structures (in particular, for peer-to-peer systems, wireless networks, and programmable matter), and the design of algorithms and architectures for robust and secure distributed systems. Among his various professional activities, he is a member of the editorial boards of the Journal of the ACM and the Journal of Computer and System Sciences, and he is the general chair of the ACM SPAA conference since 2015.

Dr Eiko Yoneki. Dr Yoneki is a senior researcher leading a group on ‘Data Centric Systems’ in the Systems Research Group of the University of Cambridge Computer Laboratory. She is also a Turing Fellow at the Alan Turing Institute in London. Eiko has received her PhD in Computer Science from the University of Cambridge. Prior to academia, she worked for IBM in US, Japan, Italy and UK, where she received the highest Technical Award. Her research interests span distributed systems, networking and databases, including large-scale graph processing. Her current research focusses on auto-tuning of data processing/analytics framework to deal with complex parameter space using machine learning approaches for efficient parallel processing on scheduling and load balancing. She also works on several projects with African and South American countries, including ‘digital epidemiology’, understanding of human interactions in rural societies by applying wireless/sensing technology, and advanced modelling of infectious disease spread. She also works on supporting farmers by early detection of crop bugs or diseases by applying sensing and image analysis with machine learning.

  • Keynote: Digital Epidemiology - using raspberry pi DTN network for sensed data collection

Workshop Programme:

To be published

Theory and Practice for Integrated Cloud, Fog and Edge Computing Paradigms - TOPIC 2018
In conjunction with the 37th ACM Symposium on Principles of Distributed Computing (PODC 2018)

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