RLAlloc: A Deep Reinforcement Learning-Assisted Resource Allocation Framework for Enhanced Both I/O Throughput and QoS Performance of Multi-Streamed SSDs.
Mengquan LiChao WuCongming GaoCheng JiKenli LiPublished in: DAC (2023)
Keyphrases
- resource allocation
- resource management
- reinforcement learning
- resource allocation problems
- resource allocation and scheduling
- optimal resource allocation
- resource usage
- allocate resources
- combinatorial auctions
- quality of service
- solid state
- response time
- dynamic resource allocation
- scarce resources
- state space
- market equilibrium
- distributed resource allocation
- multi agent