扩展QUIC协议以支持边缘的实时容器迁移

Luca Conforti, A. Virdis, C. Puliafito, E. Mingozzi
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引用次数: 6

摘要

在现代云和边缘计算环境中,服务通常以虚拟机(vm)的形式提供。最近,容器作为一种轻量级的虚拟机形式越来越受欢迎。使用容器迁移有几个原因,其中之一是保持边缘计算服务和移动用户之间的接近性。然而,在迁移容器时,重要的是要考虑它们通常与其他端点(例如用户的应用程序)进行通信。此外,在面向连接的协议中,通信端点共享一个状态(即连接),这也需要迁移。像TCP这样面向连接的协议在设计时并没有考虑到连接迁移,因此它们的连接不能在IP地址或端口号改变时存活。另一方面,QUIC协议为客户端连接迁移提供了一种机制,即,当客户端设备更改IP地址(例如,在无线切换之后)时,QUIC透明地将正在进行的连接迁移到新地址。尽管如此,QUIC中的服务器端连接迁移尚未实现或研究。在本文中,我们扩展QUIC以支持在主机之间迁移容器时的服务器端连接迁移。更具体地说,我们设计了两种不同的策略来实现这一目的。此外,我们还描述了一个基于aioquic (QUIC的Python开源实现)的概念验证实现。我们还验证我们的实现不会破坏QUIC规范,也不会破坏QUIC互操作性。最后,我们通过使用不同的容器迁移技术和针对非迁移场景测试所考虑的策略来评估我们的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extending the QUIC Protocol to Support Live Container Migration at the Edge
In modern cloud and edge computing environments, services are typically provided as Virtual Machines (VMs). More recently, containers have been gaining momentum as a lightweight form of VMs. Container migration is used for several reasons, one of which being to maintain proximity between edge computing services and mobile users. When migrating containers, however, it is important to consider that they typically have ongoing communications with other endpoints, e.g., users’ applications. Moreover, in case of connection-oriented protocols, communicating endpoints share a state (i.e., the connection), which needs to be migrated as well. Connection-oriented protocols like TCP were not designed having connection migration in mind, thus their connections cannot survive a change of IP address or port number. On the other hand, the QUIC protocol provides a mechanism for client-side connection migration, i.e., when a client device changes IP address (e.g., after a wireless handover), QUIC transparently migrates ongoing connections to the new address. Nonetheless, server-side connection migration in QUIC is not yet implemented nor investigated. In this paper, we extend QUIC to support server-side connection migration when a container is migrated between hosts. More specifically, we design two different strategies to achieve this purpose. Besides, we describe a proof-of-concept implementation based on aioquic, a Python open-source implementation of QUIC. We also verify that our implementation does not break QUIC specification nor undermines aioquic interoperability. Finally, we evaluate our solution by testing both the considered strategies using different container migration techniques and against a no-migration scenario.
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