Demo Data from EDBT 2026 / reviewers in the wild / expert
Marcelo Torres
dblp:166/6966
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
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 · 62% Internet architecture and protocols · 38% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet architecture and protocols
domain name system |
0.1 | 1 | 2015 | End-User Mapping: Next Generation Request Routing for Content Delivery · SIGCOMM 2015 |
Internet architecture and protocols › naming and addressing
mapping system |
0.1 | 1 | 2015 | End-User Mapping: Next Generation Request Routing for Content Delivery · SIGCOMM 2015 |
Methods — techniques the papers use, named apart from their topics
measurement study · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | End-User Mapping: Next Generation Request Routing for Content DeliveryabstractContent Delivery Networks (CDNs) deliver much of the world's web, video, and application content on the Internet today. A key component of a CDN is the mapping system that uses the DNS protocol to route each client's request to a ``proximal'' server that serves the requested content. While traditional mapping systems identify a client using the IP of its name server, we describe our experience in building and rolling-out a novel system called end-user mapping that identifies the client directly by using a prefix of the client's IP address. Using measurements from Akamai's production network during the roll-out, we show that end-user mapping provides significant performance benefits for clients who use public resolvers, including an eight-fold decrease in mapping distance, a two-fold decrease in RTT and content download time, and a 30% improvement in the time-to-first byte. We also quantify the scaling challenges in implementing end-user mapping such as the 8-fold increase in DNS queries. Finally, we show that a CDN with a larger number of deployment locations is likely to benefit more from end-user mapping than a CDN with a smaller number of deployments. Fangfei Chen, Ramesh K. Sitaraman, Marcelo Torres |
SIGCOMM | 3 |