ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.15769
  4. Cited By
Humas: A Heterogeneity- and Upgrade-aware Microservice Auto-scaling
  Framework in Large-scale Data Centers

Humas: A Heterogeneity- and Upgrade-aware Microservice Auto-scaling Framework in Large-scale Data Centers

22 June 2024
Qin Hua
Dingyu Yang
Shiyou Qian
Jian Cao
Guangtao Xue
Minglu Li
ArXivPDFHTML

Papers citing "Humas: A Heterogeneity- and Upgrade-aware Microservice Auto-scaling Framework in Large-scale Data Centers"

2 / 2 papers shown
Title
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the
  Cloud
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud
Siqiao Xue
C. Qu
Xiaoming Shi
Cong Liao
Shiyi Zhu
...
Yun Hu
Lei Lei
Yang Zheng
Jianguo Li
James Y. Zhang
62
38
0
31 May 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
169
3,900
0
14 Dec 2020
1