面向云计算的绿色低碳能源网络评价新模型——绿色质量(QoG)

Haizhuo Lin, Jilong Wang
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引用次数: 1

摘要

随着网络设备和传感器终端的显著增长,网络能耗问题将成为制约网络系统整体环境发展的关键因素。在基于单点网络设备、节能机制和新型路由节能策略的多种方法中,如何对绿色网络进行评价是一个亟待解决的问题。一些传统的方法往往局限于网络系统的单一属性或关注网络系统的整体能耗,要么过于片面,要么过于笼统,难以找到网络高能耗的主要症结,即对绿色质量(QoG)的影响,也难以更好地构建绿色网络环境。绿色网络的核心含义确实很简单:在QoS的基本承诺下,获得最小的网络能耗。针对上述问题,本文提出了一种新的绿色低碳能源网络评价模型。这款新车型以绿色质量(QoG)命名。本文采用网络度量方法,将网络的性能、流量和拓扑划分为三个主题来映射QoS与绿色评价之间的关系,并量化绿色能耗指标。绿色能源消费指标根据绩效分为8个指标;2个基于流量的索引,4个基于拓扑的索引。然后通过统计分析,将四个绿色模糊指标量化为:波动性F、脆弱性V、持久性P、可恢复性R。然后确定14个绿色能耗指标对4个绿色模糊指标的隶属度。最后采用模糊数学综合评价法构建评价矩阵,得到绿色质量质量的标准化计算框架。最后,我们定义了一个新的概念——网络用能(network exergy):从当前的网络QoS条件a到另一个QoS条件B的转换过程中所消耗的有用能量。当达到B后,网络用能为零。这种网络能量的实际意义在于必须同时定义初始QoS和最终QoS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new evaluation model on green low carbon energy network for cloud computing— Quality of green(QoG)
The topic of the network energy consumption is going to be the key factor which can restrict the development of the whole environment of the network system under the significantly growth of the network devices and the sensor terminals. For in a variety of methods based on a single point of network equipment, energy-saving mechanisms, and new routing energy-saving strategies, how to make an evaluation of the green network is an urgent problem. Some traditional methods tend to be confined to a single property of the network system or focus on the overall energy consumption of the network system, either too one-sided or too general, which makes it hard to find the main crux of the high energy consumption of the network, the impact of quality of Green(QoG), as well as to make a better green network environment. The core meaning of the green network is simple indeed: to obtain the minimum of the network energy consumption under the basic promise of QoS. In this paper, a new evaluation model on green low-carbon energy network is proposed to solve such problem mentioned before. This new model is name by quality of green(QoG). In this paper, we use network measuring which be divided by three topics - performance, traffic and topology of the network to map the relationship between the QoS and the green evaluation and also to quantify green energy consumption index. The green energy consumption indexes are divided into eight indexes based on performance; two indexes based on the traffic and four indexes on the topology. Then we quantify four green fuzzy indexes as: Fluctuation F, vulnerability V, persistence P, recoverability R based on the statistical analysis. After that, we determine for the membership of the 14 green energy consumption indexes to the 4 green fuzzy indexes. Finally we build the evaluation matrix by fuzzy mathematics comprehensive evaluation method to get the standardized computing framework of QoG-quality of green. At last, we define a new concept as network exergy: the useful energy consumption during a conversion processs from a current network QoS conditions A to another QoS conditons B. After it reaches B, the network exergy is zero. The practical significance of this network exergy is that you must define the initial QoS and final QoS at the same time.
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