The Internet of Things (IoT) is expected to be the next paradigm to explode in IT with 50 billion connected devices by 2020.

The real-time requirement and largely distributed nature of “things” may not fit well with the traditional Cloud paradigm. They may favor distributed or hybrid paradigms, where the compute and storage resources span into the edge such as fog or mobile edge computing.

These systems are built on top of devices that, on the one hand, are heterogeneous, constrained, and often exacerbate the challenges in terms of dependability and reliability. On the other hand, the devices are also owned by multiple entities and increasingly pervasive, which heightens the challenges with regard to security and privacy.

We can understand these systems by using complex data analytics techniques and intelligent modelling when choosing the inputs/­outputs and the causality effects. Moreover, to lower the management complexity, these systems need to be self-controlled by autonomic loops and tend to have a high level of local autonomicity.

Download Call for Papers


This workshop aims to promote a community-wide discussion to find and identify suitable strategies to enable reliable and secure intelligent computing systems (Cloud, IoT, Edge, Fog) that are privacy-aware. We are looking for papers that apply data analytics, modeling, autonomous control for ensuring the dependability, security and privacy of systems.

In conjunction with SRDS 2017

Topics of interest

include (but are not limited to)

Dependability, security and privacy for distributed systems

Novel privacy requirements for IoT in fog, edge or hybrid computing

Security enforcement mechanisms in constrained devices

Dependability aspects for heterogeneous systems (Cloud, IoT)

Autonomic loops for autonomous distributed systems

Self-managing for dependable systems

Control of resource or energy management in fog, edge or hybrid computing

Autonomic aspects of combining IoT with fog, edge and hybrid computing

Autonomic control of privacy and security tradeoffs

Data analytics and intelligent modeling for distributed systems

Behavior modelling of Cloud, IoT systems

Modelling of privacy vs utility

Low-latency analytics

Important dates

Submission due
Author notification

7 July 2017
12 July 2017
16 July 2017

Submission instructions

We solicit manuscripts of up to 6 pages in standard IEEE 8.5x11 format.

Accepted papers will be published in conjunction with SRDS 2017 proceedings and will be submitted to IEEE Xplore.

Submitted papers may not have been previously published in or under consideration for publication in another journal or conference. Reviews will be single blind.

Manuscripts should be submitted as PDF files.

Tentative agenda


Keynote speakers

Erik Elmroth, Umeå University and Elastisys, Sweden

Yennun Huang, Sinica, Taiwan

Program committee

Marco Beccuti, University of Turin, Italy
Roberto Bruschi, CNIT, Italy
Luca Chiaraviglio, University of Rome Tor Vergata, Italy
Valentin Cristea, Politehnica University of Bucharest, Romania
Ciprian Dobre, Politehnica University of Bucharest, Romania
Marco Fiore, CNR, Italy
Fernando Pedone, USI, Switzerland
Juan F. Pérez, Universidad del Rosario, Colombia
Radu Prodan, University of Innsbruck, Austria
Etienne Rivièrre, Université de Neuchâtel, Switzerland
Eric Rutten, INRIA, France
Florian Wamser, University of Wuerzburg, Germany
Haining Wang, University of Delaware, USA
Yusung Wu, National Chia-Tung University, Taiwan
Ji Xue, Google, USA


Ask the workshop organizers


Bogdan Robu
Grenoble Alps University, GIPSA Lab

Robert Birke
IBM Research – Zurich Lab