August 13-15, 2018, Gran Canaria, Spain
Call for Papers
21.000 million devices will be connected to the Internet by 2021, and 16.000 of them will be part of the Internet of Things. The usage of manifold connected sensors (temperature, humidity, pressure, vibration, air quality, etc.) in different fields (plants, animals, geological phenomena, cities, homes, etc.) will enable the collection of a vast amount of data subsequently transformed into information and knowledge. However, such a knowledge creation process cannot be handled in a totally centralized way and must be combined with distributed computing so that information transmitted is reduced by sharing the processing load among devices. In traditional distributed computing, shared processing is enabled by additional hardware architectures that have to satisfy higher processing capabilities while ensuring lower power consumption.
The distinct characteristics of IoT technologies require a more intricate trade-off communication vs computation. In particular, large number of sensors and QoS strict requirements demand new distributed techniques. As the sensor volume grows, infrastructures for IoT distributed computing must include nodes close to the edge that facilitate data analysis for a cluster of sensors. They must also perform edge analytics to reduce the data sent to the core from high-frequency readings and decrease the bandwidth needed. Finally, they must guarantee that customer experience is not compromised, which requires new robust techniques with strict QoS and latency requirements. The emerging paradigm of fog computing enables to meet these requirements by moving storage and compute services to the network edge or even to the end devices (e.g., to a data hub or to a smart access point).
Consequently, IoT deployments require: new abstraction or multi-agent approaches to distribute tasks among edges and cloud; new techniques and communication standards for sharing information to increase spectrum efficiency while keeping data consistency and availability; and new meta-data, policies, and hardware/software capabilities to aid fog-orchestration in distributed databases.
The aim of this workshop is to provide state-of-the-art solutions tackling the mentioned IoT distributed computing problems. High quality research papers as well as contributions from industry that are not yet published or under review are welcomed.
Topics of interest include, but are not limited to:
Workshop Chairs
Dr. Juan Manuel Corchado
University of Salamanca
Dr. Javier Prieto
University of Salamanca
Dr. Fernando de la Prieta
University of Salamanca
Important Dates
Paper submission
March 22, 2018April 13, 2018
April 20, 2018
Notification of acceptance
May 15, 2018
May 29, 2018
Full paper submission
June 15, 2018
Paper submission
The submited paper must be formatted according to the guidelines of Procedia Computer Science: MS Word Template, Latex, Template Generic, Elsevier.
Sumitted technical papers must be no longer than 8 pages including all figures, tables and references.
Authors are requested to submit their papers alectronically in PDF format using easychair.org
All accepted papers will be scheduled for oral presentations and will be printed in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series (on-line). At least one author of each accepted paper is required to register and attend the conference to present the work.
TPC Members
Dr. Santiago Mazuelas
Basque Center for Applied Mathematics
Dr. Abbes Amira
Qatar University
Dr. Vicente-Julián Inglada
Valencia University of Technology
Dr. Javier Bajo
Polytechnical University of Madrid
Dra. Sara Rodríguez
University of Salamanca
Dr. Soumya Prakash Rana
London South Bank University
Dr. Pablo Chamoso
University of Salamanca
Dr. Carlos Ramos
Politécnico do Porto
Dr. Sigeru Omatu
Osaka Institute of Technology
Contact
Dr. Juan Manuel Corchado
University of Salamanca
corchado@usal.es
(+34 618 696 589)