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

... 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,...

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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