A Scheduling Method for Division-Based Broadcasting Considering Consumption Rate of Multiple Videos

Yusuke Gotoh, Kanto Nishino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Due to the recent popularization of digital broadcasting services, many people receive data and watch videos by broadcasting. In general broadcasting systems, servers can concurrently deliver data to many clients who unfortunately, must wait until the first portion of the data is broadcast. In division-based broadcasting, several researchers have proposed scheduling methods to reduce the waiting time for delivering multiple videos. However, conventional methods do not consider cases where servers synchronously deliver multiple videos with different consumption rates. In this paper, we propose a scheduling method for division-based broadcasting of multiple videos that addresses the quality of multiple videos. Our proposed method reduces the waiting times by producing an effective broadcasting schedule based on consumption rate of each video. In our evaluations, we confirmed that our proposed method reduces the waiting times more than the conventional method.

Original languageEnglish
Title of host publicationAdvances in Networked-Based Information Systems - The 23rd International Conference on Network-Based Information Systems, NBiS 2020
EditorsLeonard Barolli, Kin Fun Li, Tomoya Enokido, Makoto Takizawa
PublisherSpringer
Pages327-337
Number of pages11
ISBN (Print)9783030578107
DOIs
Publication statusPublished - 2021
Event23rd International Conference on Network-Based Information Systems, NBiS 2020 - Victoria, Canada
Duration: Aug 31 2020Sept 2 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1264 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference23rd International Conference on Network-Based Information Systems, NBiS 2020
Country/TerritoryCanada
CityVictoria
Period8/31/209/2/20

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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