不可靠网络的分散自适应延迟感知云边露架构

Getenet Tefera, Kun She, F. Deeba
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引用次数: 7

摘要

智能终端用户设备与全球生态系统的连接呈爆炸式增长,并在回程中产生了巨大的网络流量。此外,远程手术、自动驾驶汽车等新技术等实时应用需要高质量的用户体验。为了应对这些挑战,云计算被扩展为一种被称为Dew计算的新范式,它通过分散的数据和信息交换,使云服务和功能更接近最终用户设备。然而,用户对超低延迟和可靠性的需求仍然存在,因此,我们引入了Cloud-Edge-Dew架构,在不可靠的网络中形成自适应的本地资源利用和计算卸载,以促进层次结构中各层之间的协作。此外,智能终端用户设备建立对等通信或访问由Dew服务器和Edge服务器提供的微服务。因此,我们的方案提供了一个分散的本地计算,在响应时间、可用性和存储方面更有效。
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Decentralized Adaptive Latency-Aware Cloud-Edge-Dew Architecture for Unreliable Network
Smart end-user devices are connected to the global ecosystem explosively and producing an enormous amount of network traffic at the backhaul. Moreover, Real-time applications such as remote surgery, self-driving cars, and other new technologies required high quality of user experience. To address the challenges Cloud Computing is extended to a new paradigm known as Dew Computing which brings cloud services and capabilities closer to end user devices based on proximity through a decentralized exchange of data and information. However, there is still a user requirement for Ultra-low latency and reliability so that, we introduced Cloud-Edge-Dew architecture to form adaptive local resource utilization and computational offloading during unreliable network to facilitate the collaboration between the various layer in the hierarchy. Moreover, smart end-user devices establish a peer communication or accessing the micro-services which are delivered from Dew Servers and Edge Server. As a result, our scheme provides a decentralize local computation which is more efficient in response time, availability and storage.
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