Ningcheng Yuan1, Chao Jia2, *, Jizhao Lu3, Shaoyong Guo1, Wencui Li3, Xuesong Qiu1, Lei Shi4
CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1657-1671, 2020, DOI:10.32604/cmc.2020.09840
Abstract Container is an emerging virtualization technology and widely adopted in the
cloud to provide services because of its lightweight, flexible, isolated and highly portable
properties. Cloud services are often instantiated as clusters of interconnected containers.
Due to the stochastic service arrival and complicated cloud environment, it is challenging
to achieve an optimal container placement (CP) scheme. We propose to leverage Deep
Reinforcement Learning (DRL) for solving CP problem, which is able to learn from
experience interacting with the environment and does not rely on mathematical model or
prior knowledge. However, applying DRL method directly dose not lead to a satisfying… More >
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