光纤到校网络的成本与能耗评估

S. A. Abdi, A. Ramli, N. N. N. A. Malik, N. Zulkifli, F. Iqbal, Madihah Md. Rasid
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引用次数: 0

摘要

对宽带接入日益增长的需求推动了接入网络向基于光纤的解决方案发展。可靠、快速和安全的学校Wi-Fi将使教师能够最大限度地在课堂上使用互联网。作为2013-2025年马来西亚教育蓝图的一部分,教育部采取了另一项举措,以便为马来西亚学生提供有效的学习体验。该计划旨在为马来西亚的每一所公立学校提供高速互联网接入和虚拟学习环境(VLE)。随着学校网络基础设施的扩张,能源消耗正变得越来越重要,这不仅是从环境的角度来看,也从资本支出的角度来看。提出了光纤到校(FTTS)网络的成本和能耗模型。利用所建立的模型对FTTS网络的能耗进行了评估。对于成本评估,在分析中考虑的不同情景之间的成本变化没有太大差异。研究还发现,与其他网络成本相比,订阅成本在FTTS总成本中所占的比例最高,为69%。同时,在能耗评估中发现,考虑网元空闲状态的节能方案下,FTTS可节能约24.33%。考虑非活动时段网元关闭时的能耗模型,节能效果提高,约为66.67%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cost and Energy Consumption Assessment of Fiber-to-the-School Network
The growing demand for broadband access drives the evolution of access networks to fiber-based solutions. School Wi-Fi that is reliable, fast, and secure will empower teachers to maximize their use of the internet in the classroom. As part of its Malaysian Education Blueprint 2013-2025, the Ministry of Education has taken another initiative in order to provide an effective learning experience for Malaysian students. The program aims to give every Malaysian public-school access to high-speed Internet access and a virtual learning environment (VLE). Energy consumption is becoming more important in schools as their network infrastructure expands, not only from an environmental standpoint but also from a capital expenditure perspective. This paper proposes the cost and energy consumption model for fiber-to-the-school (FTTS) network. The developed model was used to assess the energy consumption of the FTTS network. For the cost assessment, there is not much different in the cost variation between different scenarios considered in the analysis. It was also found that subscription cost contribute the highest percentage of 69% in total FTTS cost compared to other network costs. Meanwhile in energy consumption assessment, it is been discovered that the FTTS through scenario with energy saving approach by considering the idle state of the network elements will save approximately 24.33%. The energy saving is improved when considering energy consumption model when the network elements are switched off during inactive hours which is approximately 66.67%.
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