Resource Demand Prediction of Cloud Workloads Using an Attention-based GRU Model-Reference-Cited by-同舟云学术

Resource Demand Prediction of Cloud Workloads Using an Attention-based GRU Model

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 17th International Conference on Mobility, Sensing and Networking (MSN)
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Author:

Shu Wenjuan¹,Zeng Fanping²,Ling Zhen³,Liu Junyi¹,Lu Tingting¹,Chen Guozhu¹

Affiliation:

1. University of Science and Technology of China,School of Computer Science and Technology,Hefei,China

2. University of Science and Technology of China,Key Laboratory of Wireless-Optical Communications Chinese Academy of Sciences. School of Computer Science and Technology,Hefei,China

3. Southeast University,School of Computer Science and Engineering,Nanjing,Jiangsu,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9751460/9751461/09751488.pdf?arnumber=9751488

Reference24 articles.

1. A Group Genetic Algorithm for Resource Allocation in Container-Based Clouds

2. An online auction mechanism for time-varying multidimensional resource allocation in clouds

3. Container Rebalancing: Towards Proactive Linux Containers Placement Optimization in a Data Center

4. Dynamic workload patterns prediction for proactive auto-scaling of web applications

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