Efficient periodic broadcasting scheme for video delivery over a single channel

Yu, Hsiang‐Fu

doi:10.1007/s11042-014-1889-2

Cited by 6 publications

(3 citation statements)

References 27 publications

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“…To shorten the broadcast cycle length, the duplicate items were centralized and allocated to the same channel. In [9], video was broadcast on a single channel, so the data size was variable. In [10], mobile users could download multiple items in a multichannel environment.…”

Section: Introductionmentioning

confidence: 99%

Minimizing the Average Waiting Time of Unequal-Size Data Items in a Mobile Computing Environment

Wang¹

2016

Mobile Information Systems

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In a mobile computing environment, waiting time is an important indicator of customer satisfaction. In order to achieve better customer satisfaction and shorter waiting times, we need to overcome different constraints and make the best use of limited resources. In this study, we propose a minimization problem, allocating unequal-size data items to broadcast channels with various bandwidths. The main idea is to solve the problem in the continuous spaceRn. First, we map the discrete optimization problem fromZntoRn. Second, the mapped problem is solved inRnoptimally. Finally, we map the optimal solution fromRnback toZn. With the theoretical analyses, we can ensure the solution quality and execution speed. Computational experiments show that the proposed algorithm performs well. The worst mean relative error can be reduced to 0.353 for data items with a mean size of 100. Moreover, almost all the near-optimal solutions can be obtained within 1 millisecond, even forN=500, whereNis the number of data items, that is, the problem size.

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Section: Introductionmentioning

confidence: 99%

Minimizing the Average Waiting Time of Unequal-Size Data Items in a Mobile Computing Environment

Wang¹

2016

Mobile Information Systems

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“…These types of applications use prerecorded video as the underlying medium, including movies, television shows, prerecorded sporting events, or prerecorded user-generated video (such as those commonly seen on YouTube). These prerecorded videos are stored on servers, and users send requests to the servers to view the videos on demand [15,18].…”

Section: Introductionmentioning

confidence: 99%

“…This has explosively increased the amount of IP video traffic over mobile access networks, which is dominated by multimedia streaming, and acts as a burden to the resource-constrained mobile network. Therefore, methods to efficiently deliver large quantities of video streaming content are needed [5,6,18].…”

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confidence: 99%

View pattern-based adaptive streaming strategy for mobile content delivery services

Kim

2015

Multimed Tools Appl

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This study contributes towards a new streaming strategy for mobile multimedia content such as audio/video delivered to mobile access devices. In general, users often watch the first part of a video clip and then switch to some other content. In this regard, this paper presents a view pattern-based adaptive streaming (abbreviated VPAS) strategy for mobile content delivery services that considers mobile network environments characterized by limited available bandwidth. VPAS offers a distinction by requesting smaller data chunk sizes in the remaining parts of the video content, which are not as frequently referenced as the first parts. VPAS offers several benefits, including the less wasting of network resources and less network traffic.

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Categorization-based video streaming for traffic mitigation in content delivery services

Kim

Kwon

Kim

2017

Multimed Tools Appl

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Efficient periodic broadcasting scheme for video delivery over a single channel

Cited by 6 publications

References 27 publications

Minimizing the Average Waiting Time of Unequal-Size Data Items in a Mobile Computing Environment

Minimizing the Average Waiting Time of Unequal-Size Data Items in a Mobile Computing Environment

View pattern-based adaptive streaming strategy for mobile content delivery services

Categorization-based video streaming for traffic mitigation in content delivery services

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