Power Efficient Approach and Performance Control for Routers

M. Yamada, T. Yazaki, Nobuhito Matsuyama, Takehisa Hayashi
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引用次数: 48

Abstract

We introduce two approaches for power saving routers, which are the power efficient designing and the power saving designing. Power efficient designing enables a high performance router at low power consumption. As a part of power efficient designing, we have integrated ASICs/FPGAs of routers and developed a scalable central architecture. Additionally, we used new high speed memories and high speed interfaces such as a SerDes. As a result, the whole power consumption of our router adopting power efficient designing was reduced over 50% compared to conventional routers. Power saving designing is an approach to cut down wasted power consumption. Two major aspects belong to power saving designing, which are static performance control and dynamic performance control. We have been studying on static performance control, such as power cutting technology per port or module, and power saving mode by frequency switching. We were successful in saving 10-20% of power compared to conventional routers using this power saving mode by frequency switching. Furthermore, we introduce the dynamic performance control as a promising power saving approach for next generation routers. The router controls its performance dynamically according to the amount of received traffic. We show two technologies needed for this approach, which are the dynamically performance controllable router architecture/circuit, and the traffic monitoring/predicting technology. We consider that working on these technologies will save more power.
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路由器的功率效率方法与性能控制
介绍了节能路由器的两种设计方法:高效节能设计和节能设计。节能设计使路由器在低功耗下实现高性能。作为节能设计的一部分,我们集成了路由器的asic / fpga,并开发了可扩展的中央架构。此外,我们使用了新的高速存储器和高速接口,如SerDes。与传统路由器相比,采用节能设计的路由器整体功耗降低了50%以上。节电设计是一种减少电能浪费的方法。节能设计的两个主要方面是静态性能控制和动态性能控制。我们一直在研究静态性能控制,例如每个端口或模块的电源切断技术,以及频率开关的节能模式。与传统路由器相比,我们成功地通过频率切换节省了10-20%的电力。此外,我们还介绍了动态性能控制作为下一代路由器的一种很有前途的节能方法。路由器根据接收到的流量动态控制其性能。我们展示了实现该方法所需的两项技术,即动态性能可控的路由器架构/电路和流量监控/预测技术。我们认为,研究这些技术将节省更多的电力。
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