Abstract:
Nowadays, more and more companies migrate business from their own servers to
the cloud. With the in
ux of computational requests, datacenters consume tremen-
dous energy every day, attracting great attention in the energy e ciency dilemma.
In this paper, we investigate the energy-aware resource management problem in
cloud datacenters, where green energy with unpredictable capacity is considered.
Via proposing a robust reinforcement learning-based decentralized resource man-
agement framework. Because the reinforcement learning method is informed from
the historical knowledge, it relies on no request arrival and energy supply. Ex-
perimental results show that our approach is able to reduce the datacenters' cost
signi cantly compared with other benchmark algorithms.
