Multi-core heterogeneous processor-based operation and maintenance pre-warning and prevention system architecture

Abstract

The invention discloses a multi-core heterogeneous processor-based operation and maintenance pre-warning and prevention system architecture. The system architecture is implemented through the following steps of: obtaining operation and maintenance environment data by utilizing a plurality of sensors; carrying out information fusion on the plurality of sensors by using a multi-core heterogeneous processor; transmitting fusion information to a control unit through a bus; and controlling a management platform by the control unit to carry out pre-warning and prevention, so as to realize the automatic accident pre-warning and prevention.

Description

Technical field [0001] The invention relates to a multi-core heterogeneous processor-based operation and maintenance early warning and prevention system architecture Background technique [0002] With cloud computing and virtualization, showing the characteristics of "large scale", "high density", "high energy consumption", and "complexity", the construction and development of a new generation of data centers and the improvement of data center infrastructure management will become increasingly Importantly, the integrated management and intelligence of the data center infrastructure will become a new trend in the development of data centers. [0003] At present, operation and maintenance lack automated means, passive operation and maintenance, and low efficiency, and large-scale IT facilities bring management pressure. Need to realize the automatic monitoring of the data center, improve the timely warning ability of the system and environmental parameters, and improve the response ...

AI Technical Summary

Problems solved by technology

Heterogeneous computing has received more attention in recent years, mainly because the traditional method of increasing computing power by increasing the CPU clock frequency and the number of cores has encountered heat dissipation and energy consumption bottlenecks

Although dedicated computing units such as GPUs have low operating frequency, more cores and parallel computing capabilities, the overall performance / chip area ratio and performance / power consumption ratio are high, but they are far from being fully utilized.

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