ATCA之机箱管理及高可靠性设计与实现

本文介绍了在ATCA系统中的机箱管理,基于IPMI(Intelligent Platform Management Interface)规格兼容的管理技术,使管理人员能完成远程监控与管理,得知系统的健康状况,运行状态,实现远程配置。并结合系统管理功能,来提高系统的可靠性。

SOC dynamic power management using artificial neural network

Dynamic Power Management (DPM) is a technique to reduce power consumption of electronic system by selectively shutting down idle components. In this article we try to introduce back propagation network and radial basis network into the research of the system-level power management policies. We proposed two PM policies-Back propagation Power Management (BPPM) and Radial Basis Function Power Management (RBFPM) which are based on Artificial Neural Networks (ANN). Our experiments show that the two power management policies greatly lowered the system-level power consumption and have higher performance than traditional Power Management(PM) techniques-BPPM is 1.09-competitive and RBFPM is 1.08-competitive vs. 1.79 . 1.45 . 1.18-competitive separately for traditional timeout PM . adaptive predictive PM and stochastic PM.