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Ecosystem of Things: Hardware, Software, and Architecture

2019/07/22 by Lu Chao, Chao Lu, Xiaohui Peng +2 · 2 citations
Computer Science · Engineering · #IoT and Edge/Fog Computing #Opportunistic and Delay-Tolerant Networks #Green IT and Sustainability

paper · doi:10.1109/jproc.2019.2925526

Abstract

Edge computing is a continuum that includes the computing resources from cloud to things. Ecosystem of things (EoT) is a subsystem of the ecosystem of edge computing, which potentially contains trillions of devices of things and directly interacts with the physical world. This paper surveys the state of the art of EoT by focusing on the computing infrastructure aspect with a forward-looking perspective. We point out a trend of smart edge computing with four types of smartness and intelligence. We address three fundamental questions. 1) What capabilities and how much energy efficiency are the hardware providing? What is the future growth potential? 2) What abstractions are provided by the system software? Are they adequate to support smart edge computing? 3) What ecosystem architectures have been proposed for the coordination of things, the edge, and the cloud? Are they meeting the needs to encourage innovation but avoid unnecessary ecosystem fragmentation? We examine advances from both industry and academia, including research results, visions, and project concepts. We also point out future research directions.

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