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EURASIP Journal on Wireless Communications and Networking
Fig. 9 | EURASIP Journal on Wireless Communications and Networking

Fig. 9

From: A novel approach to workload prediction using attention-based LSTM encoder-decoder network in cloud environment

Fig. 9

Workload prediction results on a period of traces over the Alibaba dataset. a Our model. The red line in sub-figure (a). The segment between 19 and 30 is the predicted workload value from our method. b GRUED. The red line in sub-figure (b). The segment between 19 and 30 is the predicted workload value from GRUED. c LSTM. The red line in sub-figure (c). The segment between 19 and 30 is the predicted workload value from LSTM

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