Demo Data from EDBT 2026 / reviewers in the wild / expert
Kimaya Mittal
dblp:96/6304
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 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
1 paper |
Wireless networking · 81% Network optimization and economics · 19% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless networking › scheduling › queueing discipline
queue-length-based scheduling |
0.0 | 1 | 2006 | IQU: practical queue-based user association management for WLANs · MobiCom 2006 |
Network optimization and economics
resource allocation |
0.0 | 1 | 2006 | IQU: practical queue-based user association management for WLANs · MobiCom 2006 |
Methods — techniques the papers use, named apart from their topics
work period allocation · 0.1queue-based association control · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | A game-theoretic analysis of wireless access point selection by mobile users
Kimaya Mittal, Elizabeth M. Belding, Subhash Suri |
Comput. Commun. | 1 |
| 2006 | IQU: practical queue-based user association management for WLANsabstractFlash crowds and high concentrations of users in wireless LANs (WLANs) cause significant interference problems and unsustainable load at access points. This leads to poor connectivity for users, severe performance degradation, and possible WLAN collapse. To validate this claim, we present two case studies of large, heavily loaded operational WLANs. These studies provide significant insight into the degraded performance and collapse of a WLAN during heavy use. To address these problems, we propose IQU, a practical queue-based user association management system for heavily loaded WLANs. IQU grants users fair opportunities to access the WLAN while maintaining high overall throughput, even when the WLAN is heavily loaded. The basic premise of IQU is to control user associations with the WLAN through request queues and work period allocations. We implement a prototype of IQU and evaluate it on a wireless testbed. Our evaluation demonstrates that IQU significantly improves network throughput under heavy load; the tradeoff is that users have to wait for network access. We explore the impact of IQU parameters on system performance, and validate the robustness of IQU under heavy load conditions. Through IQU, WLANs can be utilized efficiently and network collapse prevented. Amit P. Jardosh, Kimaya Mittal, Krishna N. Ramachandran, Elizabeth M. Belding, Kevin C. Almeroth |
MobiCom | 2 |