Demo Data from EDBT 2026 / reviewers in the wild / expert
Paola Laface
dblp:27/6842
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2003
—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 |
Network performance modeling · 61% Cellular and mobile networks · 39% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cellular and mobile networks › mobile networks › mobile network architecture › cellular network architecture
GPRS |
0.0 | 1 | 2003 | Packet Delay Analysis in GPRS Systems · INFOCOM 2003 |
Network performance modeling › delay analysis
packet delay analysis |
0.0 | 1 | 2003 | Packet Delay Analysis in GPRS Systems · INFOCOM 2003 |
Network performance modeling › queueing analysis
queueing models of computer systems |
0.0 | 1 | 2003 | Packet Delay Analysis in GPRS Systems · INFOCOM 2003 |
Cellular and mobile networks › mobile networks
GSM |
0.0 | 1 | 2003 | Packet Delay Analysis in GPRS Systems · INFOCOM 2003 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0analytical modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Packet Delay Analysis in GPRS SystemsabstractIn this paper we describe an analytical model to compute the packet delay distribution in a cell of a wireless network operating according to the GSM/GPRS standard. GSM (Global System for Mobile communications) is the most widely deployed wireless telephony standard, and GPRS (Generalized Packet Radio Service) is the technology that is now available to integrate packet data services into GSM networks. By comparing the performance estimates produced by the analytical model against those generated by detailed simulation experiments, we show that the proposed modeling technique is quite accurate. In addition, we show that the results produced by the analytical model are extremely useful in the design and planning of a wireless voice and data network. Marco Ajmone Marsan, Paola Laface, Michela Meo |
INFOCOM | 2 |