论文标题
表征网络路径进出云
Characterizing network paths in and out of the clouds
论文作者
论文摘要
商业云计算正成为主流，资金机构超越了原型，也开始为生产活动提供资金。任何科学计算生产活动的一个重要方面是传入和外向的数据流动。尽管VM的性能和成本却相对充分理解，但网络性能和成本却不是。本文在太平洋研究平台的云资源和主要的DTN之间，包括网络骨干网中的OSG数据联合库以及云本身内部的各个区域中的网络表征，包括云资源和太平洋研究平台中的主要DTN之间。本文既包含对结果，潜伏期和吞吐量测量结果的定性分析。它还包括对基于云的网络涉及的成本的分析。
Commercial Cloud computing is becoming mainstream, with funding agencies moving beyond prototyping and starting to fund production campaigns, too. An important aspect of any scientific computing production campaign is data movement, both incoming and outgoing. And while the performance and cost of VMs is relatively well understood, the network performance and cost is not. This paper provides a characterization of networking in various regions of Amazon Web Services, Microsoft Azure and Google Cloud Platform, both between Cloud resources and major DTNs in the Pacific Research Platform, including OSG data federation caches in the network backbone, and inside the clouds themselves. The paper contains both a qualitative analysis of the results as well as latency and throughput measurements. It also includes an analysis of the costs involved with Cloud-based networking.
