Editorial of CCF transactions on networking: special issue on intelligence-enabled end-edge-cloud orchestrated computing
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EDITORIAL
Editorial of CCF transactions on networking: special issue on intelligence‑enabled end‑edge‑cloud orchestrated computing Ju Ren1 · Hongbo Jiang2 · Xuemin Shen3 · John C. S. Lui4 · Arun K. Lyengar5 Published online: 24 November 2020 © China Computer Federation (CCF) 2020
1 Introduction Cloud computing has played a very important role in driving the flourish of modern artificial intelligence and data analytical applications during the past decade. However, due to the explosion of mobile devices and data traffic, it becomes very difficult to meet the delay-sensitive and context-aware service requirements by using cloud computing alone. Edge computing emerges to be a potential solution by pushing the intelligent services from the cloud to the network edges that are in closer proximity to end devices and data sources. It provides a complement for cloud computing to make it be only responsible for delay non-sensitive, resource-intensive or computationally complex tasks. Meanwhile, fueled by the Moore’s law, the computing power of mobile devices (like smartphones and vehicles) has experienced exponential increase and been augmented enough to support local intelligence and data analytics. Consequently, a new research trend is to orchestrate the differentiated computing capabilities/resources of end devices, edge servers and the cloud for achieving real-time, flexible and pervasive services and * Ju Ren [email protected] Hongbo Jiang [email protected] Xuemin Shen [email protected] John C. S. Lui [email protected] Arun K. Lyengar [email protected] 1
Central South University, Changsha, China
2
Hunan University, Changsha, China
3
University of Waterloo, Waterloo, Canada
4
The Chinese University of Hong Kong, Hong Kong, China
5
IBM, New York, USA
intelligence. Although many existing works are dedicated to improving the performance of end devices by computation offloading and enabling real-time intelligence at the edge, tailored technologies are still missing for end-edge-cloud orchestrated computing systems to fully exploit the potential advantages of the hierarchical architecture. The purpose of this special issue is to provide a platform for sharing the state-of-the-art research and development on intelligence-enabled end-edge-cloud orchestrated computing. Through an open call for papers and rigorous peer-review, we select 5 papers as representatives of ongoing research and development activities in the following subjects.
2 End‑edge‑cloud orchestrated computing applications The paper, titled “Cooperative Abnormal Sound Event Detection in End-Edge-Cloud Orchestrated Systems”, presents a cooperative abnormal sound event detection framework for city surveillance by end-edge-cloud orchestrated computing. The end-edge-cloud orchestrated audio processing system consists of two processing phases: preprocessing (feature extraction) and post-processing (sound source localization and sound event classification). In the pre-processing phase, the log-mel spectrogram and time of arrival information
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