The First IEEE SERVICES Workshop on Edge Computing for Autonomous Things

The First IEEE SERVICES Workshop on Edge Computing for Autonomous Things

Call for Papers

Workshop Chair

Stephan Reiff-Marganiec, University of Leicester - (srm13@le.ac.uk)

Workshop Program Chairs

Bruno Tardiole Kuehne, Federal University of Itajuba (UNIFEI) - (brunokuehne@unifei.edu.br)
Marco Perez Hernandez, University of Cambridge - (marco.perez@ieee.org)

For general questions about this workshop, please contact any of the organizers.

Description & Scope

Edge computing extends deployment alternatives for software systems enabling to locate capabilities in the edge of the networks rather than centralize them in the cloud infrastructures. This decentralization of processing and storage operations brings the advantage of reducing communication latency and avoiding unnecessary data flow inefficiencies and inherent cloud risks. The edge has come to revolutionize the way that services, components, applications and systems are designed and built by enabling to localize software capabilities closer to the physical location where the interactions with the physical world happen.

The enormous potential of the edge-computing paradigm to drive engineering of cyber-physical systems is obvious and it forms an enabler of the IoT vision where autonomous things are pervasively supporting human user activities in a wide range of contexts. The typical view of autonomy from the perspective of the human users considers only a part of a broader notion of autonomy. A holistic view of autonomy takes into account the ability of an object or thing to operate without heavy fundamental dependencies on cloud infrastructures.

This way, things take advantage of local edge resources, as well as any other suitable resource including other objects and things to provide better user experiences by reducing latency and data exposure. Besides, a closer control of the data collected/generated by thing-sensors enables a greater awareness of the existing data which in turn enables better harnessing of data collected and available resources.

The workshop aims to provide a forum for - divulging developments in the area of edge computing support for autonomous things - increasing interest of researchers focused in different aspects of the topics related to engineering of autonomous things on the edge with emphasis on the system design and system deployment decisions - enabling authors worldwide to share their ideas, challenges and concerns ad engage in debate of the technical issues in this area

This workshop welcomes high quality submissions presenting approaches and technologies that will enable the development of the next generation of IoT and Cyber-physical systems and allow to overcome current constraints through a combination of cloud, fog and edge resources and device autonomy.

The workshop will focus on the following issues (however, related not listed issues will be considered for inclusion):

On-Edge Service Life Cycles
  • Distributed edge-intensive service orchestration processes
  • Distributed edge-intensive service choreographies
  • Distributed edge-intensive service selection
  • Context-based localization of distributed intelligence
  • Decision-making strategies and criteria for mixing cloud and edge resources and services
  • Benchmarks of different edge architectures
  • Design patterns and styles for edge-intensive service architectures
  • Techniques for traceability of edge resources to services
  • Metric frameworks for edge-intensive systems and services
Data-driven Edge Processing
  • Edge data analytics, processing, filtering and aggregation
  • Data decentralization and disaggregation techniques
  • Mixed edge-cloud data aggregation strategies
Algorithms and models for optimization of edge resource usage

Strategies for edge-intensive thing coordination

Distributed edge-intensive methods for thing cooperation and coordination

Simulation platforms and testbeds for autonomous things

Applications of edge-intensive autonomous things including:
  • Edge services for Autonomous Vehicles
  • Smart Grid, and software defined networks
  • Resilient and cloud-independent things
  • Edge-intensive monitoring techniques

Submission

We call for original and unpublished papers no longer than 6 pages (up to 2 additional pages may be purchased subject to approval by the Publication Chair). All papers will be reviewed with a minimum of 3 good-quality reviews per paper. The manuscripts should be formatted in standard IEEE camera-ready format (double-column, 10-pt font) and be submitted as PDF files (formatted for 8.5x11-inch paper).

The submission URL is: https://easychair.org/conferences/?conf=ieeeservices2019

Authors wishing to submit a paper to this workshop must select the track entitled IEEE SERVICES Workshop on Edge Computing for Autonomous Things in order to be considered.

Important Dates

Paper Submission Deadline: Extended to April 22
Notification to Author: May 1, 2019
Camera-ready & Registration: May 15, 2019

Program Committee

Rafael Angarita
Rajendra V. Boppana, UT San Antonio
Carl K. Chang, Iowa State University
Manuel Herrera Fernandez
Giancarlo Fortino, University of Calabria
Paulo Alonso Gaona
Marco Hernandez, University of Cambridge
Bruno Tardiole Kuehne, Federal University of Itajuba
Katsunori Oyama, Nihon University
Charith Perera, OU
Stephan Reiff-Marganiec, University of Leicester
Oscar Javier Romero, Carnegie Mellon University
Javid Taheri, Karlstad University
Marcel Tilly, University Rosenheim
Hong Lin Truong, Aalto University
Shangguang Wang, BUPT
Jingwei Yang, California State University-Sacramento