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DRLPart: A Deep Reinforcement Learning Framework for Optimally Efficient and Robust Resource Partitioning on Commodity Servers.

Ruobing ChenJinping WuHaosen ShiYusen LiXiaoguang LiuGang Wang
Published in: HPDC (2021)
Keyphrases
  • reinforcement learning
  • main contribution
  • lightweight
  • probabilistic model
  • computationally efficient
  • real time
  • data structure
  • highly efficient
  • robust estimation
  • round robin
  • space partitioning