利用CORNIFER实现高性价比且高性能的虚拟广域网
Cost-effective and performant virtual WANs with CORNIFER
AI总结：
本文提出Cornifer工具，通过优化虚拟广域网节点数量与云中位置，在降低连接延迟的同时减少部署成本，并实现帕累托最优拓扑的自动选择。
摘要：
虚拟广域网（WAN）是一种WAN即服务的云产品，旨在为企业客户带来专用广域互连的性能优势。在本工作中，我们表明虚拟广域网的拓扑结构可能使其在性能和成本上都变得低效。我们开发了Cornifer，这是一种设计虚拟广域网拓扑的工具，通过决定虚拟广域网节点的数量及其在云中的位置，以低成本为企业最小化连接延迟。通过利用全球各地观测点到云接入点的数百万条延迟测量数据，Cornifer设计的虚拟广域网拓扑与最先进方案相比，将加权客户端延迟改善了26%，并将成本降低了28%。Cornifer能够识别位于部署成本与连接延迟权衡的帕累托前沿上的虚拟广域网拓扑，并提出了一种启发式方法，用于为企业自动选择帕累托最优的虚拟广域网拓扑。
英文摘要：
Virtual wide-area networks (WANs) are WAN-as-a-service cloud offerings that aim to bring the performance benefits of dedicated wide-area interconnects to enterprise customers. In this work, we show that the topology of a virtual WAN can render it both performance and cost inefficient. We develop Cornifer, a tool that designs virtual WAN topologies by deciding the number of virtual WAN nodes and their location in the cloud to minimize connection latency at low cost to enterprises. By leveraging millions of latency measurements from vantage points across the world to cloud points of presence, Cornifer designs virtual WAN topologies that improve weighted client latency by 26% and lower cost by 28% compared to the state-of-the-art. Cornifer identifies virtual WAN topologies at the Pareto frontier of the deployment cost vs. connection latency trade-off and proposes a heuristic for automatic selection of Pareto-optimal virtual WAN topologies for enterprises.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
