Demo Data from EDBT 2026 / reviewers in the wild / expert
Yiannis Yiakoumis
dblp:50/7950
· DBLP profile ↗
4ranked-venue papers
2as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author
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
4 papers |
Internet architecture and protocols · 34% Network management and operations · 33% Network optimization and economics · 23% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Energy-efficient computing · 100% |
Topics — the 7 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network optimization and economics › network economics › internet economics
network neutrality |
0.2 | 1 | 2016 | Neutral Net Neutrality · SIGCOMM 2016 |
Internet architecture and protocols › packet scheduling
fair queueing |
0.2 | 1 | 2013 | Scheduling packets over multiple interfaces while respecting user preferences · CoNEXT 2013 |
Internet architecture and protocols
packet scheduling |
0.2 | 1 | 2013 | Scheduling packets over multiple interfaces while respecting user preferences · CoNEXT 2013 |
Network management and operations
home network management |
0.1 | 1 | 2012 | Putting home users in charge of their network · UbiComp 2012 |
Network management and operations › quality of service management
traffic prioritization |
0.1 | 1 | 2012 | Putting home users in charge of their network · UbiComp 2012 |
Internet architecture and protocols
quality of service |
0.0 | 1 | 2012 | Putting home users in charge of their network · UbiComp 2012 |
Energy-efficient computing › power management › energy-efficient networking
network power management |
0.0 | 1 | 2010 | ElasticTree: Saving Energy in Data Center Networks · NSDI 2010 |
Methods — techniques the papers use, named apart from their topics
user study · 0.2network cookies · 0.2deficit round robin · 0.2user preference elicitation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Neutral Net NeutralityabstractShould applications receive special treatment from the network? And if so, who decides which applications are preferred? This discussion, known as net neutrality, goes beyond technology and is a hot political topic. In this paper we approach net neutrality from a user's perspective. Through user studies, we demonstrate that users do indeed want some services to receive preferential treatment; and their preferences have a heavy-tail: a one-size-fits-all approach is unlikely to work. This suggests that users should be able to decide how their traffic is treated. A crucial part to enable user preferences, is the mechanism to express them. To this end, we present network cookies, a general mechanism to express user preferences to the network. Using cookies, we prototype Boost, a user-defined fast-lane and deploy it in 161 homes. Yiannis Yiakoumis, Sachin Katti, Nick McKeown |
SIGCOMM | 1 |
| 2013 | Scheduling packets over multiple interfaces while respecting user preferencesabstractNow that our smartphones have multiple interfaces (WiFi, 3G, 4G, etc.), we have preferences for which interfaces an application may use. We may prefer to stream video over WiFi because it is fast, but VoIP over 3G because it gives continued connectivity. We also have relative preferences, such as giving Netflix twice as much capacity as Dropbox. This means our mobile devices need to schedule packets in keeping with our preferences while making use of all the capacity available. This is the natural domain of fair queuing, and this paper is about the design of a packet scheduler to meet these requirements. We show that traditional fair queueing schedulers cannot take into account a user's preferences for some interfaces over others. We present a novel packet scheduler called miDRR that meets our needs by generalizing DRR for multiple interfaces. We demonstrate a prototype running in Linux and show that it works correctly and can easily run at the speeds we need. Kok-Kiong Yap, Te-Yuan Huang, Yiannis Yiakoumis, Sandeep Chinchali, Nick McKeown, Sachin Katti |
CoNEXT | 3 |
| 2012 | Putting home users in charge of their networkabstractPolicy-makers, ISPs and content providers are locked in a debate about who can control the Internet traffic that flows into our homes. In this paper we argue that the user, not the ISP or the content provider, should decide how traffic is prioritized to and from the home. Home users know most about their preferences, and if they can express them well to the ISP, then both the ISP and user are better off. To test the idea we built a prototype that lets users express highlevel preferences that are translated to low-level semantics and used to control the network. Yiannis Yiakoumis, Sachin Katti, Te-Yuan Huang, Nick McKeown, Kok-Kiong Yap, Ramesh Johari |
UbiComp | 1 |
| 2010 | ElasticTree: Saving Energy in Data Center Networks
Brandon Heller, Srinivasan Seetharaman, Priya Mahadevan, Yiannis Yiakoumis, Puneet Sharma 0001, Sujata Banerjee, Nick McKeown |
NSDI | 4 |