A Case for Elevating the Edge to be a Peer of the Cloud

IF 1.2 Q4 TELECOMMUNICATIONS GetMobile-Mobile Computing & Communications Review Pub Date : 2021-01-22 DOI:10.1145/3447853.3447859
U. Ramachandran, H. Gupta, Adam Hall, Enrique Saurez, Zhuangdi Xu
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引用次数: 7

Abstract

Over the last 20 years, mobile computing has evolved to encompass a wide array of increasingly data-rich applications. Many of these applications were enabled by the Cloud computing revolution, which commoditized server hardware to support vast numbers of mobile users from a few large, centralized data centers. Today, mobile's next stage of evolution is spurred by interest in emerging technologies such as Augmented and Virtual Reality (AR/VR), the Internet of Things (IoT), and Autonomous Vehicles. New applications relying on these technologies often require very low latency response times, increased bandwidth consumption, and the need to preserve privacy. Meeting all of these requirements from the Cloud alone is challenging for several reasons. First, the amount of data generated by devices can quickly saturate the bandwidth of backhaul links to the Cloud. Second, achieving low-latency responses for making decisions on sensed data becomes increasingly difficult the further mobile devices are from centralized Cloud data centers. And finally, regulatory or privacy restrictions on the data generated by devices may require that such data be kept locally. For these reasons, enabling next-generation technologies requires us to reconsider the current trend of serving applications from the Cloud alone.
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提升边缘成为云的同行的案例
在过去的20年里,移动计算已经发展到包含越来越多的数据丰富的应用程序。其中许多应用程序都是通过云计算革命实现的,云计算革命使服务器硬件商品化,从而支持来自几个大型集中式数据中心的大量移动用户。如今,人们对增强现实和虚拟现实(AR/VR)、物联网(IoT)和自动驾驶汽车等新兴技术的兴趣推动了移动设备的下一阶段发展。依赖于这些技术的新应用程序通常需要非常低的延迟响应时间、增加的带宽消耗和保护隐私的需求。由于几个原因,仅从云满足所有这些需求是具有挑战性的。首先,设备产生的数据量会很快使通往云的回程链路带宽饱和。其次,实现对感测数据做出决策的低延迟响应变得越来越困难,因为更多的移动设备来自集中式云数据中心。最后,对设备产生的数据的监管或隐私限制可能要求这些数据保存在本地。由于这些原因,启用下一代技术需要我们重新考虑当前仅从云服务应用程序的趋势。
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