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PAM: An efficient power-aware multi-level cache policy to reduce energy consumption of Software Defined Network

机译:PAM:一种有效的功耗感知多级缓存策略,可减少软件定义网络的能耗

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摘要

Nowadays energy consumption is one of the most significant aspects in Internet operations, where multi-level routing is widely used. In a typical hierarchical router cache structure, the upper level storage serves as a cache for the lower level, which forms a distributed multi-level cache system. In the past two decades, several classic LRU-based multi-level cache policies were proposed to improve the overall I/O performance of storage systems. However, few power-aware multi-level cache policies focus on the storage devices in the bottom level, which consume more than 27% energy of the whole system [20]. To address this problem, in this paper, we propose a novel Power-Aware Multi-level cache (PAM) policy, which can reduce the energy consumption of storage devices with both high performance and high I/O bandwidth. In our PAM policy, a proper number of cold dirty blocks in the upper level cache are identified and selected to flush directly to the storage devices, which provides high probability to extend the duration time of data disks with standby status. Thus the energy consumption can be reduced. Simulation results show that, compared to the existing popular cache schemes such as PA-LRU, PB-LRU and Demote, PAM saves the power consumption by up to 15% under different I/O workloads, which improves the energy efficiency by up to 50.5%.
机译:如今,能耗已成为Internet运营中最重要的方面之一,Internet广泛使用了多级路由。在典型的分层路由器高速缓存结构中,较高级别的存储充当较低级别的高速缓存,这形成了分布式多层缓存系统。在过去的二十年中,提出了几种基于LRU的经典多层缓存策略,以提高存储系统的总体I / O性能。但是,很少有能感知功率的多级缓存策略专注于底层存储设备,它们消耗了整个系统超过27%的能量[20]。为了解决这个问题,在本文中,我们提出了一种新颖的Power-Aware多级缓存(PAM)策略,该策略可以减少具有高性能和高I / O带宽的存储设备的能耗。在我们的PAM策略中,将识别并选择适当数量的高层缓存中的冷脏块,以直接刷新到存储设备,这很可能会延长具有备用状态的数据磁盘的持续时间。因此,可以减少能量消耗。仿真结果表明,与现有流行的高速缓存方案(例如PA-LRU,PB-LRU和Demote)相比,PAM在不同的I / O工作负载下可节省多达15%的功耗,从而将能源效率提高多达50.5 %。

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