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

... We propose a new approach to the agent learning in the system for managing job flows of scalable applications in a heterogeneous distributed computing environment, which includes high-performance computing clusters, as its main components. We 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 ...

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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