Ensemble CNN Attention-Based BiLSTM Deep Learning Architecture for Multivariate Cloud Workload Prediction-Reference-Cited by-同舟云学术

Ensemble CNN Attention-Based BiLSTM Deep Learning Architecture for Multivariate Cloud Workload Prediction

Published:2023-01-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th International Conference on Distributed Computing and Networking
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Author:

Kaim Ananya¹^ORCID,Singh Surjit¹^ORCID,Patel Yashwant Singh²^ORCID

Affiliation:

1. Computer Science & Engineering Department, Thapar Institute of Engineering and Technology, India

2. Computer Science & Engineering Department, Thapar Institute of Engineering & Technology, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3571306.3571433

Reference17 articles.

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4. An Efficient Multivariate Autoscaling Framework Using Bi-LSTM for Cloud Computing

5. Sepp Hochreiter and Jürgen Schmidhuber . 1997. Long short-term memory. Neural computation 9, 8 ( 1997 ), 1735–1780. Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long short-term memory. Neural computation 9, 8 (1997), 1735–1780.

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