云/边缘数据中心网络资源调度

Yuhan Zhao, Wei Zhang, Meihong Yang, Huiling Shi
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引用次数: 2

摘要

云边缘集成服务模型结合了云计算和边缘计算能力的优势。因此,与云边缘融合的数据中心是未来数据中心发展不可逆转的趋势。软件定义网络(SDN)作为一种新颖的网络模型,将内容转发和控制分离开来,使跨数据中心网络的资源管理更加高效。本文主要研究未来数据中心的网络数据传输和管理。首先,回顾了针对全球SDN网络新特性的测量、分析和监控方法。然后重点研究了基于云的跨域数据中心流量调度理论等SDN资源的统一管理。具体而言,我们提出了一种新的跨网络故障响应机制,该机制具有更精确的位置和更短的响应时间。结合云计算和边缘计算业务的动态变化,提出了相应的全局QoS控制和QoE优化方法。最后,制定了一套支持上述功能的SDN控制平台。我们希望我们的工作能够为云边缘结合跨域数据中心网络架构提供一些新的思路和新的理论支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network Resource Scheduling For Cloud/Edge Data Centers
The cloud-edge integration service model combines the advantages of computing capabilities both from cloud and edge. Therefore, the data centers with cloud-edge integrated are an irreversible trend for the evolution of future data center. Software-Defined Network (SDN), emerging as a novel network model, separates content forwarding and control, and that makes resource management across data center network more efficient. This article focuses on the network data transmission and management for future data centers. First, it reviews measurement, analysis, and monitoring methods meant for new features of global SDN network. Then it focuses on unified management of SDN resources like traffic scheduling theory for cross-domain data centers based on cloud. Specifically, we proposed a novel fault response mechanism across the network with a more precise location and less response time. With dynamic changes of cloud computing and edge computing services combined, global QoS control and QoE optimization methods are proposed correspondingly. Finally, a set of SDN control platforms supporting the functions mentioned above are formulated. We hope that our work will shed some new light and provide new theoretical support for cloud-edge-combined cross-domain data center network architecture.
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