Demo Data from EDBT 2026 / reviewers in the wild / expert
Younes Balah
dblp:279/5519
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2022
—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 |
Content delivery and video streaming · 87% Cellular and mobile networks · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Content delivery and video streaming › peer-to-peer streaming
chunk scheduling |
0.4 | 1 | 2020 | BeeCast: a collaborative video streaming system · MobiCom 2020 |
Content delivery and video streaming
cooperative video streaming |
0.4 | 1 | 2020 | BeeCast: a collaborative video streaming system · MobiCom 2020 |
Cellular and mobile networks
device-to-device communication |
0.1 | 1 | 2020 | BeeCast: a collaborative video streaming system · MobiCom 2020 |
Methods — techniques the papers use, named apart from their topics
chunk exchange coordination · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | BeeCast: A Device-to-Device Collaborative Video Streaming SystemabstractIn this paper, we propose BeeCast, a collaborative video streaming system that facilitates collaborative video streaming for a group of mobile users with limited Internet connectivity. The novelty of the proposed system is the ability to watch the video on a shared screen or to watch the video on multiple screens. The latter option entails proposing a method to exchange the downloaded video segments among the users using device-to-device communication. The proposed system is composed of two components: BeeBuzzer, and BeePlanner. The BeeBuzzer component manages and coordinates the segment exchange among devices, while BeePlanner component enhances the overall Quality of Experience (QoE) through effective segment assignments decisions for each user. Simulation results show that using BeeCast in an unstable network produces a more consistent QoE than individual streaming while eliminating 80% of redundant network traffic. Asaad Alghamdi, Younes Balah, Mohammad Albejadi, Muhamad Felemban |
IWCMC | 2 |
| 2020 | BeeCast: a collaborative video streaming systemabstractIn this paper, we propose BeeCast, a collaborative video streaming system, that allows a group of mobile users to cooperate in streaming video content. The novelty of the proposed system is that it allows each user to watch the same video content on their own device at the same time. This entails proposing a method to exchange the downloaded video chunks among the users using device-to-device communication. The proposed system is composed of two components: BeeBuzzer, and BeePlanner. The BeePlanner component performs chunk scheduling, while the BeeBuzzer component manages and coordinates the chunk exchange among devices. Asaad Alghamdi, Younes Balah, Mohammad Albejadi, Muhamad Felemban |
MobiCom | 2 |