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Machine learning in a multi-agent system for distributed computing management

... manage parameter sweep applications that execute their jobs in a virtual machine environment. We use the specialized tools to implement such environment. In contrast to the known approaches, our approach is based on the integrated applying of methods for job classification and parameter adjustment of algorithms for functioning agents. Simulation modeling the environment allows eliciting the necessary knowledge for parameter adjustment. During the learning of agents, we use the expert knowledge of environment ...

Теги: learning systems , multi agent systems , nanotechnology , distributed computing environment , energy development , high-performance computing clusters , job classification , parameter adjustments , parameter
Раздел: ИСЭМ СО РАН


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