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
01月12日
2018
01月15日
2018
初稿截稿日期
初稿录用通知日期
终稿截稿日期
注册截止日期
2017年01月11日 美国 Las Vegas,USA
第二次边缘计算研讨会2016年10月16日 台湾-中国 Taipei,China
2016认知边缘计算研讨会
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