Accelerating Industrial IoT Acoustic Data Separation With In-Network Computing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3176974
Abstract: Acoustic data from the Industrial Internet of Things (IIoT) are widely used in anomaly detection because audio information reflects richer internal statuses of monitored working machines than the video does. Since multiple acoustic data sources… read more here.
Keywords: network; acoustic data; network computing; data separation ... See more keywords
An Architecture for Provisioning In-Network Computing-Enabled Slices for Holographic Applications in Next-Generation Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Communications Magazine"
DOI: 10.1109/mcom.2200084
Abstract: Applications such as holographic concerts are now emerging. However, their provisioning remains highly challenging. Requirements such as high bandwidth and ultra-low latency are still very challenging for the current network infrastructure. In-network computing (INC) is… read more here.
Keywords: network; holographic applications; enabled slices; network computing ... See more keywords
Edge In-Network Computing Meets Blockchain: A Multi-Domain Heterogeneous Resource Trust Management Architecture
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Network"
DOI: 10.1109/mnet.110.2100029
Abstract: In-network computing indicates the convergence of computing and network, which can be further considered as computing-based networking and network-enabled computing, from which comes the edge in-network computing paradigm. In this newly proposed paradigm, the computing,… read more here.
Keywords: heterogeneous resource; resource trust; network; resource ... See more keywords
Enabling Secure NVM-Based in-Memory Neural Network Computing by Sparse Fast Gradient Encryption
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2020.3017870
Abstract: Neural network (NN) computing is energy-consuming on traditional computing systems, owing to the inherent memory wall bottleneck of the von Neumann architecture and the Moore's Law being approaching the end. Non-volatile memories (NVMs) have been… read more here.
Keywords: neural network; nvm based; network computing; memory ... See more keywords