A scheduling method for on-demand delivery of selective contents considering selection time

Yusuke Gotoh, Ken Ohta

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

Abstract

Due to the recent popularization of digital broadcasting services, on-demand delivery of selective contents on the Internet, i.e., watching contents selected by the users themselves, is attracting much attention. For example, in a quiz program, a user selects answer and watches the video content to learn the answer. When the waiting time for playing the data after the selection is lengthened, the continuity of playing them may be interrupted. In this paper, we propose a scheduling method to reduce the waiting time for the on-demand delivery of selective contents based on the selection time. In our proposed method, the server reduces the waiting time by delivering all the candidate contents during the selection time for watching subsequent content. Our evaluation confirmed that the average waiting time under our proposed method was reduced more than that under the conventional method.

Original languageEnglish
Title of host publicationComputational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings
PublisherSpringer Verlag
Pages611-622
Number of pages12
ISBN (Print)9783319951614
DOIs
Publication statusPublished - Jan 1 2018
Event18th International Conference on Computational Science and Its Applications, ICCSA 2018 - Melbourne, Australia
Duration: Jul 2 2018Jul 5 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10960 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other18th International Conference on Computational Science and Its Applications, ICCSA 2018
CountryAustralia
CityMelbourne
Period7/2/187/5/18

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Keywords

  • On-demand delivery
  • Scheduling
  • Selection time
  • Selective contents
  • Waiting time

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Gotoh, Y., & Ohta, K. (2018). A scheduling method for on-demand delivery of selective contents considering selection time. In Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings (pp. 611-622). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10960 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-95162-1_42