Workload Prediction in Edge Computing based on Graph Neural Network.
Weiwei MiaoZeng ZengMingxuan ZhangSiping QuanZhen ZhangShihao LiLi ZhangQi SunPublished in: ISPA/BDCloud/SocialCom/SustainCom (2021)
Keyphrases
- neural network
- weighted graph
- prediction model
- undirected graph
- prediction accuracy
- disjoint paths
- edge detection
- graph model
- structured data
- edge weights
- response time
- edge information
- elman network
- homology generators
- graph representation
- graph structure
- back propagation
- neural network model
- graph matching
- graph theory
- self organizing maps
- random walk
- artificial neural networks
- directed graph
- pattern recognition
- graph partitioning
- fermentation process
- chaotic time series
- vertex set
- prediction algorithm
- predictive model
- multi layer perceptron
- connected components
- feed forward
- edge detector
- shortest path
- multiscale
- prediction error
- protein function prediction
- image processing
- neural network is trained
- learning algorithm
- genetic algorithm