Difference between revisions of "Resource:Seminar"

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{{Hist_seminar
{{Hist_seminar
|abstract = Increasing bandwidth demands of mobile video streaming
|abstract = Increasing bandwidth demands of mobile video streaming pose a challenge in optimizing the Quality of Experience (QoE) for better user engagement. Multipath transmission promises to extend network capacity by utilizing multiple wireless links simultaneously. Previous studies mainly tune the packet scheduler in multipath transmission, expecting higher QoE by accelerating transmission. However, since Adaptive BitRate (ABR) algorithms overlook the impact of multipath scheduling on throughput prediction, multipath adaptive streaming can even experience lower QoE than single-path. This paper proposes Chorus, a cross-layer framework that coordinates multipath scheduling with adaptive streaming to optimize QoE jointly. Chorus establishes two-way feedback control loops between the server and the client. Furthermore, Chorus introduces Coarse-grained Decisions, which assist appropriate bitrate selection by considering the scheduling decision in throughput prediction, and Finegrained Corrections, which meet the predicted throughput by QoE-oriented multipath scheduling. Extensive emulation and real-world mobile Internet evaluations show that Chorus outperforms the state-of-the-art MPQUIC scheduler, improving average QoE by 23.5% and 65.7%, respectively.  
pose a challenge in optimizing the Quality of Experience
(QoE) for better user engagement. Multipath transmission
promises to extend network capacity by utilizing multiple
wireless links simultaneously. Previous studies mainly tune
the packet scheduler in multipath transmission, expecting
higher QoE by accelerating transmission. However, since
Adaptive BitRate (ABR) algorithms overlook the impact of
multipath scheduling on throughput prediction, multipath
adaptive streaming can even experience lower QoE than
single-path. This paper proposes Chorus, a cross-layer framework that coordinates multipath scheduling with adaptive
streaming to optimize QoE jointly. Chorus establishes twoway feedback control loops between the server and the client.
Furthermore, Chorus introduces Coarse-grained Decisions,
which assist appropriate bitrate selection by considering
the scheduling decision in throughput prediction, and Finegrained Corrections, which meet the predicted throughput
by QoE-oriented multipath scheduling. Extensive emulation
and real-world mobile Internet evaluations show that Chorus
outperforms the state-of-the-art MPQUIC scheduler, improving average QoE by 23.5% and 65.7%, respectively.  
|confname=MobiCom' 24
|confname=MobiCom' 24
|link=https://dl.acm.org/doi/pdf/10.1145/3636534.3649359
|link = https://dl.acm.org/doi/pdf/10.1145/3636534.3649359
|title=[[Chorus: Coordinating Mobile Multipath Scheduling and Adaptive Video Streaming]]
|title=[[Chorus: Coordinating Mobile Multipath Scheduling and Adaptive Video Streaming]]
|speaker=Jiahao
|speaker=Jiahao

Revision as of 16:55, 12 September 2024

Time: 2024-09-13 10:30-12:00
Address: 4th Research Building A518
Useful links: Readling list; Schedules; Previous seminars.

Latest


History

2024

2023

2022

2021

2020

  • [Topic] [ The path planning algorithm for multiple mobile edge servers in EdgeGO], Rong Cong, 2020-11-18

2019

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2017

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