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 https://www.acm.org/publications/proceedings-template-16dec2016.

• 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

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

Posco Tso - Loughborough University, UK

Amitabh Trehan - Loughborough University, UK

Iain Phillips - Loughborough University, UK

Lin Cui - Jinan University,China

Thiago Genez - University of Bern, Switzerland

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

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.

• Relays: Towards a Link Layer for Robust and Secure Fog Computing.

• Abstract: In my presentation I will propose a new link-layer model for dis- tributed computing based on so-called relays that promises to be useful for the design of robust and secure distributed systems based on overlay networks and, in particular, for fog computing.

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 and Beyond

• Respiratory and other close-contact infectious diseases, such as tuberculosis (TB), measles and pneumonia, are major killers in much of the developing world. Mathematical models are essential for understanding how these diseases spread, and for understanding how best to control them. Although central to modelling, few quantitative real-world data on relevant contact patterns are available. Capturing human interactions provides an empirical, quantitative measurement of social interaction patterns to inform mathematical models of the spread of close-contact diseases. We have developed various systems to collect human contact/mobility data. The recent emergence of wireless technology (e.g. mobile phones and sensors) makes it possible to collect real-world data on human proximity.