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Younes Balah

dblp:279/5519 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Content delivery and video streaming › peer-to-peer streaming
chunk scheduling
0.412020
BeeCast: a collaborative video streaming system · MobiCom 2020
Content delivery and video streaming
cooperative video streaming
0.412020
BeeCast: a collaborative video streaming system · MobiCom 2020
Cellular and mobile networks
device-to-device communication
0.112020
BeeCast: a collaborative video streaming system · MobiCom 2020

Methods — techniques the papers use, named apart from their topics

chunk exchange coordination · 0.4
YearPublicationVenuePosition
2022 BeeCast: A Device-to-Device Collaborative Video Streaming System
abstract
In 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
IWCMC2
2020 BeeCast: a collaborative video streaming system
abstract
In 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
MobiCom2