监控网络基础设施消耗的能量，以检测和隔离通信架构中的故障
Monitoring the energy consumed by a network infrastructure to detect and isolate faults in communication architecture
摘要：
近年来，在计算机网络、高能效网络协议和网络管理系统领域中引入了一些重大改进。软件定义网络（Software Defined Network，SDN）作为管理复杂网络的新范式，为降低ICT能耗带来了重要机遇。在本文中，我们正在解决监控网络设备状态和优化现有解决方案的过程中的改进。我们正在监控网络架构的能耗，并增加检索到的原始功率数据，以检测设备状态的变化。目标是对从实际测量中获取的功率数据与从功率模型中提取的数据之间的差异进行基准测试，转换为设备的预期行为。该应用程序旨在监控和分析由思科交换机和路由器、Dell Precision工作站和Raritan PDU组成的模拟ICT基础架构的检索到的电源数据。此外，开发了智能算法，其结果是检测设备状态的变化，以及检测和隔离可能的异常及其对能耗的影响。该应用被设想为现有SDN控制器的扩展，用于监控和报告ICT设备状态的变化。
英文摘要：
In recent years, a number of major improvements were introduced in the area of computer networks, energy-efficient network protocols and network management systems. Software Defined Networking (SDN) as a new paradigm for managing complex networks brings a significant opportunity to reduce the energy consumption among ICT. In this paper, we are tackling improvements in the process of monitoring the states of the networking devices and optimizing the existing solutions. We are monitoring the energy consumption of a network architecture and augment the retrieved raw power data to detect changes in the state of the devices. The goal is to benchmark the difference between the power data fetched from the real-measures and the data extracted from the power models, translated as the expected behavior of the devices. An application is designed to monitor and analyze the retrieved power data of a simulated ICT infrastructure composed of Cisco switches and routers, Dell Precision stations and Raritan PDUs. Moreover, smart algorithms are developed which outcome results with detection of changes in the state of the devices, as well as with detection and isolation of possible anomalies and their impact on the energy consumption. The application is envisioned to be an extension to the existing SDN controllers for monitoring and reporting the changes in the state of the ICT devices.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
