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Qinkai Wang

dblp:344/6908 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0003-4649-1725ORCID · reported

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

Software engineering, systems software and programming languages · 1 · 1 first-author · 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 architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%
Computer networks
1 paper
Network measurement and analytics · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network measurement and analytics › internet measurement
cloud network measurement
0.212023
Where is the Traffic Going? A Comparative Study of Clouds Following Different Designs · IEEE Trans. Serv. Comput. 2023

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

measurement study · 1.3
YearPublicationVenuePosition
2023 Where is the Traffic Going? A Comparative Study of Clouds Following Different Designs
abstract
Cloud computing is critical for today's information society. In this paper, we shed light on two radically different cloud design philosophies: theDC-cloudbuilt around massive data centers, and theISP-cloudbuilt upon a large ISP. With extensive measurements on Alibaba, Tencent, and CTYun, we find that both designs have strengths and weaknesses: the ISP-cloud of CTYun has less inflated paths to users within the same ISP, but its paths to external users are more inflated comparing with the DC-clouds of Alibaba and Tencent. By analyzing the clouds’ routing policies, we reveal the reasons behind the path inflations: Alibaba and Tencent adopt anearly-exitpolicy to use more inflated public Internet paths as early as possible; while CTYun follows aglobal and location-agnosticpolicy to detour traffic to remote PoPs, leading to highly inflated paths. Based on the insights, we suggest alternative policies and averagely reduce 11.0% latency to 30.5% destinations for Alibaba, 9.8% latency to 18.6% destinations for Tencent, and 54.1% latency to external destinations for CTYun. The results suggest that both cloud designs have rooms for improvement, and an ISP-cloud has the potential to achieve a superior performance, thanks to its inherited advantages from the ISP infrastructure.
Qinkai Wang, Ye Tian 0004, Lan Ding, Xinming Zhang 0001
IEEE Trans. Serv. Comput.1