新计算时代的自适应智能

V. Peng
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引用次数: 3

摘要

连接变得无处不在,所有的东西都一直在连接。从路灯到智能城市摄像头、汽车和电器,所有东西都将相互连接,并产生连续的数据。生成数据的设备数量空前增加,其中大部分是非结构化的,数据量的增加导致了数据分析、传输和存储方式的变化。这种连接需要高聚合带宽、低延迟以及安全性。这加速了许多领域的行业标准,包括无线、有线、汽车和数据中心。这个新时代要求分布式计算也要智能。更多的数据需要在生成时、传输时和静止时进行处理。与此同时,硅技术的进步已经放缓。传统的计算平台和体系结构无法充分扩展以满足不断变化的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Intelligence in The New Computing Era
Connectivity is becoming ubiquitous with everything being connected all the time. Everything from streetlights to smart city cameras, automobiles, and appliances will be connected and generating continuous data. The unprecedented increase in the number of devices that generate data, most of which is unstructured, and the increase in the volume of data has led to a change in the way data is analysed, transported, and stored. This connectivity requires high aggregated bandwidth, low-latency as well as security. This has accelerated industry standards across many areas, including wireless, wireline, automotive, and data centers. This new era requires distributed computing that is also intelligent. More data needs to be processed where it is generated, while it is being transported and while it is at rest. At the same time, improvement in silicon technology has slowed down. Traditional computing platforms and architectures are unable to sufficiently scale to address the changing needs.
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