Taming uncertainty in distributed systems with help from the network

Joshua B. Leners, Trinabh Gupta, M. Aguilera, Michael Walfish
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引用次数: 23

Abstract

Network and process failures cause complexity in distributed applications. When a remote process does not respond, the application cannot tell if the process or network have failed, or if they are just slow. Without this information, applications can lose availability or correctness. To address this problem, we propose Albatross, a service that quickly reports to applications the current status of a remote process---whether it is working and reachable, or not. Albatross is targeted at data centers equipped with software defined networks (SDNs), allowing it to discover and enforce network partitions: Albatross borrows the old observation that it can be better to cause a problem than to live with uncertainty, and applies this idea to networks. When enforcing partitions, Albatross avoids disruption by disconnecting only individual processes (not entire hosts), and by allowing them to reconnect if the application chooses. We show that, under Albatross, distributed applications can bypass the complexity caused by network failures and that they become more available.
利用网络控制分布式系统中的不确定性
网络和流程故障会导致分布式应用程序的复杂性。当远程进程没有响应时,应用程序无法判断该进程或网络是否发生了故障,或者它们是否只是速度较慢。如果没有这些信息,应用程序可能会失去可用性或正确性。为了解决这个问题,我们提出了Albatross,它是一种服务,可以快速向应用程序报告远程进程的当前状态——它是否正在工作和可访问。Albatross的目标是配备了软件定义网络(sdn)的数据中心,允许它发现和执行网络分区:Albatross借鉴了旧的观察,即产生问题比生活在不确定性中要好,并将这一思想应用于网络。在执行分区时,Albatross通过只断开单个进程(而不是整个主机)的连接,并允许它们在应用程序选择时重新连接,从而避免了中断。我们表明,在Albatross下,分布式应用程序可以绕过由网络故障引起的复杂性,并且变得更加可用。
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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