GROUP: An End-to-end Multi-step-ahead Workload Prediction Approach Focusing on Workload Group Behavior

Author:

Feng Binbin1ORCID,Ding Zhijun1ORCID

Affiliation:

1. Tongji University, China

Funder

the National Key Research and Development Program of China

Publisher

ACM

Reference30 articles.

1. Efficient resource utilization using multi-step-ahead workload prediction technique in cloud

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4. Junyoung Chung , Caglar Gulcehre , KyungHyun Cho , and Yoshua Bengio . 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 ( 2014 ). Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014).

5. Migrating Towards Microservice Architectures: An Industrial Survey

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