TY - CHAP
T1 - Evaluation of Broadcasting System for Selective Contents Considering Interruption Time
AU - Fujita, Takuro
AU - Gotoh, Yusuke
N1 - Funding Information:
Acknowledgement. This work was supported by JSPS KAKENHI Grant Number 18K11265 and 16K01065. In addition, this work was partially supported by the Telecommunications Advancement Foundation and the Okayama Foundation for Science and Technology.
Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Due to the recent popularization of digital broadcasting, selective contents broadcasting has attracted much attention. In selective contents broadcasting, although the server delivers contents based on their preferences, users may experience the interruption time while playing their selected contents. To reduce this interruption time, many researchers have proposed scheduling methods. However, since these scheduling methods evaluated the interruption time in simulation environments, we need to evaluate them in network environments. In this paper, we propose a broadcasting system of selective contents and evaluate its effectiveness in network environments.
AB - Due to the recent popularization of digital broadcasting, selective contents broadcasting has attracted much attention. In selective contents broadcasting, although the server delivers contents based on their preferences, users may experience the interruption time while playing their selected contents. To reduce this interruption time, many researchers have proposed scheduling methods. However, since these scheduling methods evaluated the interruption time in simulation environments, we need to evaluate them in network environments. In this paper, we propose a broadcasting system of selective contents and evaluate its effectiveness in network environments.
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U2 - 10.1007/978-3-319-98530-5_77
DO - 10.1007/978-3-319-98530-5_77
M3 - Chapter
AN - SCOPUS:85083444069
T3 - Lecture Notes on Data Engineering and Communications Technologies
SP - 864
EP - 874
BT - Lecture Notes on Data Engineering and Communications Technologies
PB - Springer Science and Business Media Deutschland GmbH
ER -