Abstract
The concept of the architecture of a control framework for reducing power consumption in a large scale HPC (High Performance Computing) system is presented and discussed. The implementation of this framework provides a global computing resource manager that is implemented in the central control level, energy-efficient backbone network connecting computing farms (clusters) and data centers and a local resource manager implemented in each cluster. The decisions about activity and power status of computer and network equipment are determined by solving the problem of minimizing the energy used by the whole HPC system. A simulation-based optimization scheme is utilized to calculate optimal allocation of a set of tasks to clusters.
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