Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

Vlad Singeorzan

dblp:06/8472 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

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

Computer networks · 2

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 · 60% Network performance modeling · 20% Internet architecture and protocols · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Content delivery and video streaming
caching		 0.112012
Caching for BitTorrent-Like P2P Systems: A Simple Fluid Model and Its Implications · IEEE/ACM Trans. Netw. 2012
Network performance modeling › queueing analysis
fluid model		 0.112012
Caching for BitTorrent-Like P2P Systems: A Simple Fluid Model and Its Implications · IEEE/ACM Trans. Netw. 2012
Content delivery and video streaming › peer-to-peer streaming
peer selection		 0.112012
Caching for BitTorrent-Like P2P Systems: A Simple Fluid Model and Its Implications · IEEE/ACM Trans. Netw. 2012
Content delivery and video streaming
peer-to-peer file sharing		 0.112012
Caching for BitTorrent-Like P2P Systems: A Simple Fluid Model and Its Implications · IEEE/ACM Trans. Netw. 2012
Internet architecture and protocols
peer-to-peer networks		 0.112012
Caching for BitTorrent-Like P2P Systems: A Simple Fluid Model and Its Implications · IEEE/ACM Trans. Netw. 2012

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

simulation · 0.1fluid model · 0.1
YearPublicationVenuePosition
2012 Caching for BitTorrent-Like P2P Systems: A Simple Fluid Model and Its Implications
abstract
Peer-to-peer file-sharing systems are responsible for a significant share of the traffic between Internet service providers (ISPs) in the Internet. In order to decrease their peer-to-peer-related transit traffic costs, many ISPs have deployed caches for peer-to-peer traffic in recent years. We consider how the different types of peer-to-peer caches—caches already available on the market and caches expected to become available in the future—can possibly affect the amount of inter-ISP traffic. We develop a fluid model that captures the effects of the caches on the system dynamics of peer-to-peer networks and show that caches can have adverse effects on the system dynamics depending on the system parameters. We combine the fluid model with a simple model of inter-ISP traffic and show that the impact of caches cannot be accurately assessed without considering the effects of the caches on the system dynamics. We identify scenarios when caching actually leads to increased transit traffic. Motivated by our findings, we propose a proximity-aware peer-selection mechanism that avoids the increase of the transit traffic and improves the cache efficiency. We support the analytical results by extensive simulations and experiments with real BitTorrent clients.
Frank Lehrieder, György Dán, Tobias Hoßfeld, Simon Oechsner, Vlad Singeorzan
 IEEE/ACM Trans. Netw.5
2010 The Impact of Caching on BitTorrent-Like Peer-to-Peer Systems
abstract
Peer-to-peer file-sharing systems are responsible for a significant share of the traffic between Internet service providers (ISPs) in the Internet. In order to decrease their peer-to-peer related transit traffic costs, many ISPs have deployed caches for peer-to-peer traffic in recent years. We consider how the different types of peer-to-peer caches - caches already available on the market and caches expected to become available in the future - can possibly affect the amount of inter-ISP traffic. We develop a fluid model that captures the effects of the caches on the system dynamics of peer-to-peer networks, and show that caches can have adverse effects on the system dynamics depending on the system parameters. We combine the fluid model with a simple model of inter-ISP traffic and show that the impact of caches cannot be accurately assessed without considering the effects of the caches on the system dynamics. We identify scenarios when caching actually leads to increased transit traffic. Our analytical results are supported by extensive simulations and experiments with real BitTorrent clients.
Frank Lehrieder, György Dán, Tobias Hoßfeld, Simon Oechsner, Vlad Singeorzan
 Peer-to-Peer Computing5