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H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling
  Framework for Warehouse-Scale Data Centers -- A Hierarchical Hybrid DRL (Deep
  Reinforcement Learning) based Approach
v1v2v3 (latest)

H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers -- A Hierarchical Hybrid DRL (Deep Reinforcement Learning) based Approach

20 December 2019
Mingxi Cheng
Ji Li
P. Bogdan
Shahin Nazarian
ArXiv (abs)PDFHTML

Papers citing "H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers -- A Hierarchical Hybrid DRL (Deep Reinforcement Learning) based Approach"

1 / 1 papers shown
Title
Efficient Task Mapping for Manycore Systems
Efficient Task Mapping for Manycore Systems
Xiqian Wang
J. Xi
Yinghao Wang
P. Bogdan
Shahin Nazarian
9
5
0
05 Apr 2020
1