How to feed enough to greedy IoT monster

K. Otsuka
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引用次数: 1

Abstract

IoT changes greedy monster now-a-day. That seems to be uncontrollable world. Mega-data centers (DC’s) are trying to catch the monster mainly in the US. These systems included even edge center ones are in blind as like fog weather because the DC’s providers have been developed by own inside technologies. In our historically seen, the concept has been undergoing as “high-end technologies automatically shift to low-end ones”. So we want to know what the blind out. In my experiences, some of specific examples show by that could reveal the blinds and get the evidence. The most important element on their thought is communication bandwidth that is directly affected the data processing performance and communicating each other. The way for getting wider bandwidth involves three approaches which are high speed clocking, many lanes and high data compression. The first two issues relate with packaging technology which would be presented some. We additionally consider data compression technology. The system performance balance should put together the three issues. Let’s focus in the three issues now. While power saving is another one of the most important things in not only DC’s but mobiles. Higher bandwidth introduces saving power that we should know. Architecture of data processing with low power is managed by packaging issues which focus in also. If you well done of it, the world's highest-volume IoT platforms, the largest commercial health data clouds, the largest commercial video platforms and so on even in mobile fields could be taken as far as technological basis.
如何喂饱贪婪的物联网怪物
物联网现在改变了贪婪的怪物。这似乎是个无法控制的世界。大型数据中心(DC)正试图抓住这个怪物,主要在美国。这些系统甚至包括边缘中心的系统都像雾天气一样盲目,因为数据中心的供应商已经开发了自己的内部技术。在我们的历史上,这个概念一直在经历“高端技术自动向低端技术转移”。所以我们想知道盲出了什么。根据我的经验,一些具体的例子表明,这可以揭示盲目性并获得证据。他们认为最重要的因素是通信带宽,它直接影响到数据处理性能和相互通信。获得更大带宽的途径包括高速时钟、多通道和高数据压缩三种途径。前两个问题涉及包装技术,将提出一些。我们还考虑了数据压缩技术。系统性能平衡应该把这三个问题放在一起。现在让我们集中讨论这三个问题。而节能是另一个最重要的事情,不仅在直流,而且在移动设备。更高的带宽带来了我们应该知道的节能。低功耗数据处理的体系结构是由封装问题来管理的,封装问题也是研究的重点。如果你做得好,世界上最大的物联网平台,最大的商业健康数据云,最大的商业视频平台等等甚至在移动领域都可以作为技术基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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