Litcius/Paper detail

IndustEdge: A Time-Sensitive Networking Enabled Edge-Cloud Collaborative Intelligent Platform for Smart Industry

Yimeng Wang, Shusen Yang, Xuebin Ren, Peng Zhao, Cong Zhao, Xinyu Yang

2021IEEE Transactions on Industrial Informatics53 citationsDOI

Abstract

An edge-cloud collaborative intelligent (ECCI) platform is of great significance for the agile development and rapid deployment of ECCI applications, which are essential for realizing smart industry in the era of Industry 4.0. However, the existing platforms lack considering the high real-time latency demand of industrial operations, which severely hinders the development of smart industry and may even lead to severe industrial accidents. To effectively reduce the response latency of industrial applications, in this article, we propose an ECCI platform IndustEdge. It takes time-sensitive networking as the deterministic transport for the link layer, and provides an extensible ECCI orchestration component to reduce the system level latency. Furthermore, IndustEdge has an ECCI algorithm library for different collaborative modes and provides the complete life cycle management for ECCI applications. We implement platforms for both the real-world prototype and emulated-world emulation, and conduct two case studies to evaluate the effectiveness of IndustEdge.

Topics & Concepts

Cloud computingAgile software developmentSoftware deploymentEmulationIndustry 4.0Latency (audio)Computer scienceOrchestrationEnhanced Data Rates for GSM EvolutionEngineeringComputer securityDistributed computingSoftware engineeringEmbedded systemTelecommunicationsOperating systemEconomicsArtEconomic growthMusicalVisual artsIoT and Edge/Fog ComputingDigital Transformation in IndustryAdvanced Computing and Algorithms