The Energy Intensity of the Internet: Home and Access Networks
The Energy Intensity of the Internet: Home and Access Networks
复制标题
互联网的能源强度：家庭和接入网络
DOI：
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
L. Hilty
中科院分区：
文献类型：
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作者：
Vlad C. Coroamă;Daniel Schien;C. Preist;L. Hilty
对互联网能源强度的估计相差几个数量级。我们提出了现有的评估，并确定不同的定义的系统边界的主要原因，这种大的蔓延。是否包括终端设备的决定会对结果产生1-2个数量级的影响。如果排除终端设备，则客户驻地设备（CPE）和接入网络具有主导影响。影响较小的是考虑冷却设备和其他开销、冗余设备以及光纤中的放大器。我们反对在评估互联网的能源强度时包括终端设备，但赞成包括CPE，接入网络，冗余设备，冷却和其他开销以及光纤。我们进一步表明，城域网和核心网的强度最好建模为每数据能量，而CPE和接入网的强度最好建模为每时间能量（即，#21453;，使整体评估更具挑战性。本章最后给出了CPE和接入网的能源强度公式。该公式既有通用形式，也有对平均案例的具体估计，供从业人员快速评估时使用。下一章将为核心网络和边缘网络建立一个类似的公式。两者合计，这两章提供了一个互联网的能源强度，考虑到不同的建模范式为网络的不同部分的评估方法。
Estimates of the energy intensity of the Internet diverge by several orders of magnitude. We present existing assessments and identify diverging definitions of the system boundary as the main reason for this large spread. The decision of whether or not to include end devices influences the result by 1–2 orders of magnitude. If end devices are excluded, customer premises equipment (CPE) and access networks have a dominant influence. Of less influence is the consideration of cooling equipment and other overhead, redundancy equipment, and the amplifiers in the optical fibers. We argue against the inclusion of end devices when assessing the energy intensity of the Internet, but in favor of including CPE, access networks, redundancy equipment, cooling and other overhead as well as optical fibers. We further show that the intensities of the metro and core network are best modeled as energy per data, while the intensity of CPE and access networks are best modeled as energy per time (i.e., power), making overall assessments challenging. The chapter concludes with a formula for the energy intensity of CPE and access networks. The formula is presented both in generic form as well as with concrete estimates of the average case to be used in quick assessments by practitioners. The next chapter develops a similar formula for the core and edge networks. Taken together, the two chapters provide an assessment method of the Internet’s energy intensity that takes into account different modeling paradigms for different parts of the network.
DOI：
10.1109/issst.2012.6228017
发表时间：
2012-05
期刊：
2012 IEEE International Symposium on Sustainable Systems and Technology (ISSST)
影响因子：
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作者：
Daniel Schien;C. Preist;M. Yearworth;P. Shabajee
通讯作者：
Daniel Schien;C. Preist;M. Yearworth;P. Shabajee
在线多媒体服务使用阶段能源消耗变化的建模和评估
影响因子：
5.9
作者：
Schien D
通讯作者：
Schien D