Presentation
The evolution of ICT has led to the diffusion of wireless personal devices, such as
smart mobile phones, personal computers and wearable devices, designed to
operate over the Internet. This, together with the exponential growth of the
number of interconnected devices is leading towards the commonly called Internet
of Things (IoT).
Such increasing pervasiveness of sensing and computing, with the consequent generation of massive amount of data, is calling for scalable and efficient decentralized approaches to data storage and elaboration, relieving centralized infrastructure at the core from part of the computational and communication burden, and pushing data analytics and knowledge generation towards the edge of the network, closer to the user. Such approach, called also “Edge Computing”, leverages the computational capabilities of virtually any networked device, including resources such as laptops, smartphones, tablets and sensors, which may not be continuously connected to a network. Indeed, the sensing and computing capabilities of interconnected devices have reached very high levels. Today’s mobile devices, for instance, are computationally equivalent to laptops from only a few years ago, while combining excellent battery life, storage capacity, networking, and a multitude of internal and external sensors in a single platform.
The
main objectives of the workshop include:
- To review the state-of-art of research in Edge Computing
- To identify areas of critical needs where further research can advance the state of the art
- To individuate and address the main performance issues
- To individuate applications and use cases which could provide the motivation for further scientific developments
- To create a forum for discussion
- To provide insights for future research directions and potential new research initiatives in these areas.
Important dates
Submission deadline: October 1st, 2017
Acceptance Notification: October 25th, 2017
Final camera ready: November 4th, 2017
Workshop date: January 12th, 2018
Live stream : https://www.youtube.com/channel/UCpxIkeBuJyFz-1kGH4pxGIg/live