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.
Topics include, but are not limited, to:
Architectures and Middleware for Edge Computing
Local Cloud/Fog computing
Grid/Mesh Computing
Distributed data storage and retrieval
Autonomic self-healing networks
Virtual cloudlets
Remote cloud services
Augmented reality
Performance issues
Energy efficiency aspects in Edge Computing
Architectures and Middleware for Edge Computing
Local Cloud/Fog computingGrid/Mesh Computing
Jan 12
2018
Jan 15
2018
Draft paper submission deadline
Draft Paper Acceptance Notification
Final Paper Deadline
Registration deadline
2017-01-11 United States Las Vegas,USA
2nd Workshop on Edge Computing2016-10-16 Taiwan, China Taipei,China
Workshop on personalized cognitive computing on edge
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