Measuring the network performance of Google cloud platform

Measuring the network performance of Google cloud platform
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测量Google云平台的网络性能

DOI:
10.1145/3487552.3487862
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发表时间:
2021
期刊:
Proceedings of the 21st ACM Internet Measurement Conference
影响因子:
--
通讯作者:
Claffy, K C
Claffy, K C
中科院分区:
--
文献类型:
--
作者:
Mok, Ricky K.;Zou, Hongyu;Yang, Rui;Koch, Tom;Katz-Bassett, Ethan;Claffy, K C

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在COVID-19疫情期间,公共云平台对于支持远程学习和远程办公的在线应用至关重要。云区域和接入网络之间的网络性能直接影响应用性能和用户体验质量(QOE)。然而,Vantage点的位置和网络连接性通常限制了基于边缘的测量平台的可见性(例如,我们设计并实现了基于云计算的应用速度平台(CLASP),用于从云区域的虚拟机到各种网络的性能测量,并在互联网上广泛部署了速度测试服务器。在我们对Google Cloud Platform(GCP)进行的为期五个月的纵向测量中,我们发现我们测量的30-70%的ISP显示出严重的吞吐量下降。
Public cloud platforms are vital in supporting online applications for remote learning and telecommuting during the COVID-19 pandemic. The network performance between cloud regions and access networks directly impacts application performance and users' quality of experience (QoE). However, the location and network connectivity of vantage points often limits the visibility of edge-based measurement platforms (e.g., RIPE Atlas).We designed and implemented the CLoud-based Applications Speed Platform (CLASP) to measure performance to various networks from virtual machines in cloud regions with speed test servers that have been widely deployed on the Internet. In our five-month longitudinal measurements in Google Cloud Platform (GCP), we found that 30-70% of ISPs we measured showed severe throughput degradation from the peak throughput of the day.
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