Large-Scale Computing Systems Workload Prediction Using Parallel Improved LSTM Neural Network

Large-Scale Computing Systems Workload Prediction Using Parallel Improved LSTM Neural Network

In recent years, large-scale computing systems have been widely used as an important part of the computing infrastructure. Resource management based on systems workload prediction is an effective way to improve application efficiency. However, accuracy and real-time functionalities are always the ke...

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Bibliographic Details
Main Author: Xiaoyong Tang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Workload prediction
computing systems
LSTM
neural network
parallel
Online Access:https://ieeexplore.ieee.org/document/8668385/

Internet

https://ieeexplore.ieee.org/document/8668385/

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