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GREEN-IT: An approach to energy savings using energy aware network management system

机译:绿色 - 它:使用能量感知网络管理系统节能的方法

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During peak hours, the focus of an Internet service provider (ISP) is on meeting user demand and maintaining the quality of service of a network. However this leads to under-utilization of network devices/components in different parts of the network. Since the power consumption of network devices are constant and independent of their actual workloads, the under-utilized network devices/components continue to consume the same power as that of a component working at full workload. We propose an energy aware network management system (NMS) framework based on the centralized decision management system (CDMS) reported in [1]. The system uses Bayesian belief network (BBN) to predict the utilization in different ports of network routers. The information already available in the NMS is sufficient for the proposed framework. For implementing the proposed scheme, an extended interface management information base (MIB) is proposed, which includes an operational state. Simulations are performed on two standard networks - IndiaNet and ARPANet, and the results show that with the proposed approach the CDMS is able to save approximately 10-16% of power at the cost of 1-5% end-to-end delay overhead. The cost of re-routing and Simple Network Management Protocol (SNMP) messages is minimal and acceptable considering the total power saved by CDMS.
机译:在高峰时段期间,Internet服务提供商(ISP)的焦点是满足用户需求和维护网络的服务质量。然而,这导致网络在网络的不同部分中的网络设备/组件的利用率不足。由于网络设备的功耗是恒定的并且与其实际工作负载无关,因此不利用的网络设备/组件继续消耗与在完整工作负载中工作的组件相同的电源。我们提出了一种基于[1]中报告的集中式决策管理系统(CDMS)的能量感知网络管理系统(NMS)框架。该系统使用贝叶斯信仰网络(BBN)来预测网络路由器不同端口的利用率。在NMS中已有的信息足以满足所提出的框架。为了实现所提出的方案,提出了一种扩展接口管理信息库(MIB),其包括操作状态。模拟是对两个标准网络 - 印第安人和ARPANET进行的,结果表明,通过所提出的方法,CDMS能够以1-5%端到端延迟开销的成本节省大约10-16%的功率。考虑到CDMS保存的总功率,重新路由和简单网络管理协议(SNMP)消息的成本最小,可接受。

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