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Xiyu Hao

dblp:368/8527 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0001-7659-4314ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Content delivery and video streaming · 77% Network measurement and analytics · 23%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Content delivery and video streaming
overlay multicast
0.912025
Network Support For Scalable And High Performance Cloud Exchanges · SIGCOMM 2025
Cloud and datacenter computing
cloud networking
0.912025
Network Support For Scalable And High Performance Cloud Exchanges · SIGCOMM 2025
Network measurement and analytics › network timing analysis
latency variation
0.312025
Network Support For Scalable And High Performance Cloud Exchanges · SIGCOMM 2025

Methods — techniques the papers use, named apart from their topics

scheduling · 1.7overlay multicast · 1.7
YearPublicationVenuePosition
2025 Network Support For Scalable And High Performance Cloud Exchanges
abstract
Financial exchanges are migrating to the public cloud, but the best-effort nature of the cloud fabric is at odds with the stringent networking requirements of the exchanges. We present Onyx, a system for meeting such requirements which uses many well-studied techniques in a new context as well as introduces new techniques that enable a scalable cloud financial exchange. An overlay multicast tree is used to disseminate data to 1000 participants with ≤ 1 μs difference in data reception time between any two participants, crucial for maintaining fair competition. Several techniques for mitigating latency variance are introduced. Onyx also presents a scheduling policy for trade orders that enhances an exchange's performance and gracefully services bursty traffic. Onyx achieves ≈50% lower latency than the AWS multicast service [1]. Onyx outperforms an existing system, CloudEx [2] in terms of supported number of participants, exchange's throughput and multicast latency. Onyx's techniques can be applied to other existing systems (e.g., DBO) to enhance their performance.
Jinkun Geng, Daniel Duclos-Cavalcanti, Xiyu Hao, Ulysses Butler, Radhika Mittal, Srinivas Narayana, Anirudh Sivaraman
SIGCOMM4