Demo Data from EDBT 2026 / reviewers in the wild / expert
Phillipa Sessini
dblp:79/3270
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 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 optimization and economics · 46% Content delivery and video streaming · 30% Edge and fog computing · 23% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network optimization and economics › resource allocation
bandwidth optimization |
0.1 | 1 | 2006 | Scalable streaming for heterogeneous clients · ACM Multimedia 2006 |
Edge and fog computing › edge devices
heterogeneous edge clients |
0.1 | 1 | 2006 | Scalable streaming for heterogeneous clients · ACM Multimedia 2006 |
Content delivery and video streaming › video broadcasting
periodic broadcast |
0.1 | 1 | 2006 | Scalable streaming for heterogeneous clients · ACM Multimedia 2006 |
Network optimization and economics
resource allocation |
0.1 | 1 | 2006 | Scalable streaming for heterogeneous clients · ACM Multimedia 2006 |
Content delivery and video streaming
streaming protocol |
0.0 | 1 | 2006 | Scalable streaming for heterogeneous clients · ACM Multimedia 2006 |
Methods — techniques the papers use, named apart from their topics
work-ahead buffering · 0.1linear optimization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Scalable streaming for heterogeneous clientsabstractPeriodic broadcast protocols enable the efficient streaming of highly popular media files to large numbers of concurrent clients. Most previous periodic broadcast protocols, however, assume that all clients can receive at the same rate, and also assume that available bandwidth is not time-varying. In this paper, we first develop a new periodic broadcast protocol, Optimized Heterogeneous Periodic Broadcast (OHPB), that can be optimized for a given population of clients with heterogeneous reception bandwidths and quality-of-service requirements. The OHPB protocol utilizes an optimized segment size progression determined by solving a linear optimization model that takes as input the client population characteristics and an objective function such as mean client startup delay. We then propose complementary client protocols employing work-ahead buffering of data during playback, so as to enable more uniform playback quality when the available bandwidth is time-varying. Liqi Shi, Phillipa Sessini, Anirban Mahanti, Zongpeng Li, Derek L. Eager |
ACM Multimedia | 2 |