Exploring Computing at the Edge: A Multi-Interface System Architecture Enabled Mobile Device Cloud

V. Balasubramanian, M. Aloqaily, Faisal Zaman, Y. Jararweh
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引用次数: 25

Abstract

Today, mobile applications advancements have overcome limited device capabilities by offloading to costly public cloud. As the edge computing paradigm began to take precedence, a mobile device cloud (MDC) formed at the edge based on idle intra-device resources emerged. This is a result of a customized user-centric composition service request for a time-bound application. Herein, devices volunteer their intra-device resources for producing a compute environment in turn satisfying the needs of the consumer. Now, with the growth of device technology and the available interfaces for accessing multiple radio technologies, a new transport layer protocol called Multipath TCP was introduced in literature. This protocol enables multiple sub-flows to join for transmitting data simultaneously. However, in scenarios like formation of device clouds, there are issues pertaining to sub-flows that are involved in a device cloud composition. One such issue is the management of sub-flow buffer. As each of these sub-flows have their own respective buffering and characteristic delays, it leads to sub-optimal performance in term of buffer occupancy. Thereby, degrading the quality of the device cloud composition. To this end, we propose an OS side architecture that plays a crucial role in managing the traffic coming from different flows. We model an agent that works conservatively satisfying Kleinrock's law and show a proof of concept experiment
探索边缘计算:支持移动设备云的多接口系统架构
如今,移动应用程序的进步已经克服了有限的设备功能,将其卸载到昂贵的公共云上。随着边缘计算范式的优先化,基于设备内部空闲资源在边缘形成的移动设备云(MDC)应运而生。这是为有时间限制的应用程序定制以用户为中心的组合服务请求的结果。在这里,设备自愿提供它们的设备内部资源,以产生一个计算环境,从而满足消费者的需求。现在,随着设备技术的发展和可用于访问多种无线电技术的接口的出现,文献中介绍了一种新的传输层协议,称为多路径TCP。该协议允许多个子流加入以同时传输数据。然而,在设备云的形成等场景中,存在与设备云组合中涉及的子流相关的问题。其中一个问题是子流缓冲区的管理。由于每个子流都有各自的缓冲和特征延迟,因此就缓冲区占用而言,它会导致次优性能。从而降低了设备云组成的质量。为此,我们提出了一个操作系统端架构,它在管理来自不同流的流量方面起着至关重要的作用。我们建立了一个保守地满足Kleinrock定律的智能体模型,并进行了概念验证实验
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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