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Anil Sener

dblp:328/6848 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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

Databases, data management, data science and information retrieval · 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 · 61% Internet of things and sensor networks · 30% Network measurement and analytics · 9%

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

TopicWeightPapersLastEvidence papers
Content delivery and video streaming
content delivery network
0.612022
Beaconnect: Continuous Web Performance A/B Testing at Scale · Proc. VLDB Endow. 2022
Internet of things and sensor networks › sensor network query processing
continuous aggregation
0.612022
Beaconnect: Continuous Web Performance A/B Testing at Scale · Proc. VLDB Endow. 2022
Content delivery and video streaming › web content delivery
web acceleration
0.612022
Beaconnect: Continuous Web Performance A/B Testing at Scale · Proc. VLDB Endow. 2022
Network measurement and analytics
web performance measurement
0.212022
Beaconnect: Continuous Web Performance A/B Testing at Scale · Proc. VLDB Endow. 2022

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

real-time aggregation · 0.6a/b testing · 0.6
YearPublicationVenuePosition
2022 Beaconnect: Continuous Web Performance A/B Testing at Scale
abstract
Content delivery networks (CDNs) are critical for minimizing access latency in the Web as they efficiently distribute online resources across the globe. But since CDNs can only be enabled on the scope of entire websites (and not for individual users or user groups), the effects of page speed acceleration are often quantified with potentially skewed before-after comparisons rather than statistically sound A/B tests. We introduce the system Beaconnect for collecting and analyzing Web performance data without being subject to these limitations. Our contributions are threefold. First, Beaconnect is natively compatible with A/B testing Web performance as it is built for a custom browser-based acceleration approach and thus does not rely on traditional CDN technology. Second, we present our continuous aggregation pipeline that achieves sub-minute end-to-end latency. Third, we describe and evaluate a scheme for continuous real-time reporting that is especially efficient for large customers and processes data from over 100 million monthly users at Baqend.
Wolfram Wingerath, Benjamin Wollmer, Markus Bestehorn, Stephan Succo, Sophie Ferrlein, Florian Bücklers, Jörn Domnik, Fabian Panse, Erik Witt, Anil Sener, Felix Gessert, Norbert Ritter
Proc. VLDB Endow.10