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A dynamic local method for bandwidth adaptation in bundle links to conserve energy in core networks

机译:一种动态本地方法,用于捆绑链路中的带宽适配,以节省核心网络中的能量

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Energy savings in bundle links of the core network has been investigated recently. The bundle link technique is widely used in current core networks to provide higher bandwidth and more resilience. Basically a bundle link is composed of several high-speed physical sublinks which could be SONET connections, Ethernet circuits, etc. in order to make them work together as a virtual connection. In current network operations, all of the sublinks are activated if the bundle link is powered on although the sublinks could be shut down or brought up independently. Smartly and dynamically shutting down and bringing up sublinks and their attached ports according to the traffic demand or estimation could greatly increase the link utilization and save a large amount of energy. In previous work, we proposed a local heuristic threshold-based method to explore the potential energy savings in core networks by adjusting the number of active sublinks in the bundle links. In this paper, we further explore the possibilities to reach a better tradeoff between energy-saving performance and congestion risk by setting different value combinations of two parameters: the utilization threshold and sublink-adding strategy. From that, we propose a dynamic and hybrid local heuristic threshold-based algorithm, which we call HDLHT algorithm, to achieve a better tradeoff between energy-savings and congestion risk. In HDLHT algorithm, the bundle links are given different combinations of these two parameters according to the burstiness of their traffic. A simulation experiment deploying HDLHT algorithm was conducted on a synthetic network and the results show that HDLHT can greatly reduce the number of congestion occurrences with limited decrease in energy savings.
机译:最近已经调查了核心网络捆绑链路的节能。捆绑链路技术广泛用于当前核心网络,以提供更高的带宽和更多的弹性。基本上是一个捆绑链接由几个高速物理ublinks组成,它可以是SONET连接,以太网电路等。为了使它们作为虚拟连接。在当前的网络操作中,如果捆绑链路通电,则激活所有Sublinks,尽管可以独立地关闭或者使其延长。根据交通需求或估计巧妙地和动态关闭并带来子链接及其附加端口可以大大增加链接利用率并节省大量的能量。在以前的工作中,我们通过调整捆绑链路中的活动upblinks的数量来探讨基于语言基于阈值的基于阈值的方法,探讨了核心网络中的潜在节能。在本文中,我们进一步探讨了通过设置两个参数的不同价值组合来实现节能性能和拥塞风险之间的更好折衷的可能性:利用阈值和子思添加策略。从那时起,我们提出了一种动态和混合的局部启发式阈值基于阈值的算法,我们呼叫HDLHT算法,在节能和拥挤风险之间实现更好的权衡。在HDLHT算法中,根据其流量的突发给出捆绑链路对这两个参数的不同组合。部署HDLHT算法的仿真实验是在合成网络上进行的,结果表明,HDLHT可以大大降低能量节约减少有限的拥塞事件的数量。

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