Tiered Cloud Routing: Methodology, Latency, and Improvement

Large cloud providers including AWS, Azure, and Google offer two tiers of network services to their customers: WAN-transit service and inet-transit service. Little is known about how each cloud provider offers different transit services, how well these services work, and whether the quality of those services can be further improved. In this work, we conduct a large-scale study to answer these questions. Using RIPE Atlas probes as vantage points, we explore how traffic enters and leaves the WAN of each of the three clouds. In addition, we measure the access latencies of these two network services of each cloud and compare them with emulated alternative routing strategies.

Authors

Institutions

Publication Details

Journal
ACM SIGMETRICS Performance Evaluation Review
Published
2025-06-16
DOI
https://doi.org/10.1145/3744970.3727321
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tiered Cloud Routing: Methodology, Latency, and Improvement

Todd Arnold, Shihan Lin, Ramesh Govindan, Xiao Zhang et al.
ACM SIGMETRICS Performance Evaluation Review
Software-Defined Networks and 5G
article

Tiered Cloud Routing: Methodology, Latency, and Improvement

Todd Arnold, Shihan Lin, Ramesh Govindan, Xiao Zhang, Xiaowei Yang, Yi Zhou
article en

Abstract

Large cloud providers including AWS, Azure, and Google offer two tiers of network services to their customers: WAN-transit service and inet-transit service. Little is known about how each cloud provider offers different transit services, how well these services work, and whether the quality of those services can be further improved. In this work, we conduct a large-scale study to answer these questions. Using RIPE Atlas probes as vantage points, we explore how traffic enters and leaves the WAN of each of the three clouds. In addition, we measure the access latencies of these two network services of each cloud and compare them with emulated alternative routing strategies.

ACM SIGMETRICS Performance Evaluation ReviewVol. 53(1)
University of Southern California (US), Duke University (US), United States Military Academy (US)
Openalex Percentile: Top 85%
Software-Defined Networks and 5G
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Tiered Cloud Routing: Methodology, Latency, and Improvement — Todd Arnold, Shihan Lin, et al. · ACM SIGMETRICS Performance Evaluation Review (2025) | TGRS Research Map | TGRS