Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation

Author:

Chen Hongjie1,Rossi Ryan A.2,Mahadik Kanak2,Kim Sungchul2,Eldardiry Hoda1

Affiliation:

1. Virginia Tech, Blacksburg, VA, USA

2. Adobe Research, San Jose, CA, USA

Publisher

ACM

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting;Lecture Notes in Computer Science;2024

2. Graph Time-series Modeling in Deep Learning: A Survey;ACM Transactions on Knowledge Discovery from Data;2023-12-23

3. Hypergraph Neural Networks for Time-series Forecasting;2023 IEEE International Conference on Big Data (BigData);2023-12-15

4. MVMS: RNN based Pro-Active Resource Scaling in Cloud Environment;Scalable Computing: Practice and Experience;2023-04-19

5. Cloud Resource Usage Forecasting using Neural Network and Artificial Lizard Search Optimization;2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC);2022-09-16

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