Distributed, embedded, parallel computing and recently IoT with other
make it possible
to realize all aspects of our daily lives. From smart cars to smart homes, smart cities, smart
factories, smart health and smart environments. While the IoT has greatly expanded the
to meet many of our needs, several challenges still need to be addressed in order to develop
intelligent, coherent, responsive, safe, flexible and energy-efficient systems. To enable this
and to better understand the untapped opportunities, the IoT’s interdisciplinary landscape
large number of significant technological advances in hardware and software communities to come
together and put their efforts into synergy.
EDiS’2020 focuses on new multi-layer techniques for intelligent IoT systems,
perspectives and highlighting research problems and challenges. In particular, this conference
all important aspects of new IoT technologies, from devices connected to Edge/Fog, cloud and
applications, manufacturing, hardware, CMOS devices and beyond CMOS, architecture, embedded
systems, reconfigurable hardware, network, etc. cloud, artificial intelligence and artificial
big data, emerging applications, and man-machine interaction.
EDiS’2020 also discusses the problems associated with achieving the goal of
reliability and security. The EDiS'2020 event, which lasts two days, consists of a conference with
the main speakers, regular papers, posters, panels,
and so on.
Scope and topics of interest
EDiS'2020 aims to bring together researchers about distributed systems,
embedded systems, optimization, high performance computing and model driven engineering.
Junior and senior researchers are invited to submit their original unpublished papers on the
following topics, but not limited to :
- Embedded and Real-time systems (ERtis)
- New Trends in Information and Computing Technology (ICT)
- Parallel, Distributed Computing and communication Networks (SPD)
- Network on Chip (NoC)
- Multi-Objective Optimization in Computer Networks Using Metaheuristics
- Modelling and Simulation (MS)
- Artificial Intelligence and Machine learning in Embedded systems
- Internet of Things (IoT)