首页> 外文会议>Communications (NCC), 2012 National Conference on >GREEN-IT: An approach to energy savings using energy aware network management system
【24h】

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

机译:GREEN-IT:一种使用节能的网络管理系统进行节能的方法

获取原文
获取原文并翻译 | 示例

摘要

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,Internet服务提供商(ISP)的重点是满足用户需求并维持网络的服务质量。但是,这导致网络不同部分中网络设备/组件的利用不足。由于网络设备的功耗是恒定的,并且与它们的实际工作负载无关,因此未充分利用的网络设备/组件将继续消耗与在完全工作负载下工作的组件相同的功耗。我们基于[1]中报告的集中式决策管理系统(CDMS),提出了一种节能的网络管理系统(NMS)框架。该系统使用贝叶斯信念网络(BBN)来预测网络路由器不同端口中的利用率。 NMS中已经可用的信息对于建议的框架已经足够。为了实现所提出的方案,提出了包括操作状态的扩展接口管理信息库(MIB)。在两个标准网络(IndiaNet和ARPANet)上进行了仿真,结果表明,采用建议的方法,CDMS可以节省大约10-16%的功率,而端到端的延迟开销为1-5%。考虑到CDMS节省的总功率,重新路由和简单网络管理协议(SNMP)消息的成本是最小的并且可以接受。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号