Characterizing network paths in and out of the clouds
Characterizing network paths in and out of the clouds
复制标题
表征云中和云外的网络路径
DOI：
10.1051/epjconf/202024507059
复制
发表时间：
2020
影响因子：
--
通讯作者：
Wuerthwein, Frank
中科院分区：
文献类型：
--
作者：
Sfiligoi, Igor;Graham, John;Wuerthwein, Frank
商业云计算正在成为主流，资助机构超越了原型设计并开始资助生产活动。任何科学计算生产活动的一个重要方面是传入和传出的数据移动。虽然虚拟机的性能和成本相对容易理解，但网络性能和成本却并非如此。本文描述了 Amazon Web Services、Microsoft Azure 和 Google Cloud Platform 各个区域中的网络特征，包括太平洋研究平台中的云资源和主要 DTN 之间的网络，包括网络主干中以及云本身中的 OSG 数据联合缓存。该论文包含对结果的定性分析以及延迟和峰值吞吐量测量。它还包括对基于云的网络所涉及的成本的分析。
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 peak throughput measurements. It also includes an analysis of the costs involved with Cloud-based networking.
StashCache：开放科学网格的分布式缓存联盟
DOI：
10.1145/3332186.3332212
发表时间：
2019
期刊：
7 pages.
影响因子：
--
作者：
Weitzel, Derek;Zvada, Marian;Vukotic, Ilija;Gardner, Rob;Bockelman, Brian;Rynge, Mats;Hernandez, Edgar Fajardo;Lin, Brian;Selmeci, Mátyás
通讯作者：
Selmeci, Mátyás
CloudBank：简化计算机科学研究和教育云访问的托管服务
DOI：
--
发表时间：
2021
期刊：
Practice and Experience in Advanced Research Computing
影响因子：
--
作者：
Michael L. Norman;Vince Kellen;Shava Smallen;Brian DeMeulle;Shawn M. Strande;Ed Lazowska;Naomi Alterman;R. Fatland;S. Stone;Amanda Tan;K. Yelick;Eric Van Dusen;James Mitchell
通讯作者：
James Mitchell