Waiting for QUIC: Passive Measurements to Understand QUIC Deployments
Fuente:
arXiv
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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2022
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| Soggetti: | |
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| _version_ | 1866917055690702848 |
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| author | Mücke, Jonas Nawrocki, Marcin Hiesgen, Raphael Sattler, Patrick Zirngibl, Johannes Carle, Georg Luxemburk, Jan Schmidt, Thomas C. Wählisch, Matthias |
| author_facet | Mücke, Jonas Nawrocki, Marcin Hiesgen, Raphael Sattler, Patrick Zirngibl, Johannes Carle, Georg Luxemburk, Jan Schmidt, Thomas C. Wählisch, Matthias |
| contents | QUIC experiences a rapid adoption since its standardization in 2021, and hypergiants configure their infrastructure to optimize for QUIC performance. In this paper, we introduce a passive measurement method to study both the progressive rollout and individual hypergiant configurations during the last five years. By analyzing backscatter traffic of the UCSD network telescope, we are able to make the following observations. First, Meta, Google, and Cloudflare configure significantly different maximal retransmission numbers and timeouts. Second, we can identify different off-net deployments of hypergiants, using packet features, such as QUIC connection IDs, packet coalescence, and packet lengths. Third, we observe changing hypergiant deployment configurations during our different measurement periods. Fourth, connection IDs can allow further insights into load balancer deployments, such as the number of servers. We bolster our results using two orthogonal measurements: passive recording of QUIC flows and active probing. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2209_00965 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Waiting for QUIC: Passive Measurements to Understand QUIC Deployments Mücke, Jonas Nawrocki, Marcin Hiesgen, Raphael Sattler, Patrick Zirngibl, Johannes Carle, Georg Luxemburk, Jan Schmidt, Thomas C. Wählisch, Matthias Networking and Internet Architecture QUIC experiences a rapid adoption since its standardization in 2021, and hypergiants configure their infrastructure to optimize for QUIC performance. In this paper, we introduce a passive measurement method to study both the progressive rollout and individual hypergiant configurations during the last five years. By analyzing backscatter traffic of the UCSD network telescope, we are able to make the following observations. First, Meta, Google, and Cloudflare configure significantly different maximal retransmission numbers and timeouts. Second, we can identify different off-net deployments of hypergiants, using packet features, such as QUIC connection IDs, packet coalescence, and packet lengths. Third, we observe changing hypergiant deployment configurations during our different measurement periods. Fourth, connection IDs can allow further insights into load balancer deployments, such as the number of servers. We bolster our results using two orthogonal measurements: passive recording of QUIC flows and active probing. |
| title | Waiting for QUIC: Passive Measurements to Understand QUIC Deployments |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2209.00965 |