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Sharpening the edge: Towards improved edge computing environment for mobile and IoT applications

机译：增强优势：面向移动和物联网应用的改进的边缘计算环境

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摘要

Cloud architectures and related technologies will play an increasingly important role in our society, particularly as mobile devices (e.g. laptops, smartphones, and tablets) and Internet of Things (IoT) devices such as sensing devices (e.g. temperature sensors, and wearable devices) and smart home devices (e.g. smart TVs), become more commonplace. Some of these applications are time- or delay-sensitive and/or data-intensive, and hence a number of new requirements have surfaced; thus, resulting in new cloud (or extended) provisioning models to support application development and deployment for different settings [1]. One such example is Mobile Backend as a Service (MBaaS), which supports cloud services commonly needed by web and mobile systems, such as data storage, identity and access management, synchronization and push notifications. There is also a corresponding increase in focus and interest in the academic community, as reflected by the literature. For example, there have been research focusing on offloading [2, 3] and cyber-foraging [4] to allow applications on resource-constrained devices to be seamlessly and efficiently "executed" locally via the actual execution of computation and data processing on remote and powerful cloud servers. However, such an approach may not be suitable for time- or delay-sensitive and data-intensive applications in domains such as smart healthcare, ambient-assisted living and smart cities, and adversarial environment such as battlefields and military settings (e.g. Internet of Battlefield Things) [5,6].
机译：云架构和相关技术将在我们的社会中扮演越来越重要的角色，尤其是作为移动设备（例如笔记本电脑，智能手机和平板电脑）和物联网（IoT）设备（例如传感设备（例如温度传感器和可穿戴设备））以及智能家居设备（例如智能电视）变得越来越普遍。这些应用中的一些对时间或延迟敏感和/或数据密集型，因此出现了许多新要求。因此，产生了新的云（或扩展）供应模型来支持针对不同设置的应用程序开发和部署[1]。这样的示例就是移动后端即服务（MBaaS），它支持Web和移动系统通常需要的云服务，例如数据存储，身份和访问管理，同步和推送通知。正如文献所反映的，学术界的关注度和兴趣也相应增加。例如，已经有研究集中在卸载[2，3]和网络搜寻[4]上，以允许通过在远程上实际执行计算和数据处理来在本地无缝和高效地“执行”资源受限设备上的应用程序。和功能强大的云服务器。但是，这种方法可能不适用于对时间或延迟敏感的数据密集型应用，例如智能医疗保健，环境辅助生活和智能城市等领域以及对抗性环境，例如战场和军事环境（例如战场互联网）事物）[5,6]。

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  • 来源
    《Future generation computer systems》 |2020年第6期|1130-1133|共4页
  • 作者

    Cristian Mateos Diaz; Kim-Kwang Raymond Choo; Alejandro Zunino;

  • 作者单位

    Department of Computer Science Faculty of Exact Sciences UNICEN University Argentina;

    Department of Information Systems and Cyber Security University of Texas at San Antonio San Antonio TX 78249-0631 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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