This paper describes a channel-adaptive packet scheduler for improved error control performance in a peer-cooperative distributed media streaming system. The proposed packet-scheduling algorithm was designed for the case in which streaming server peers rely on an error-recovery strategy using retransmission and application-layer automatic repeat request rather than error protection using forward error correction. The proposed scheduler can maximize retransmission opportunities and reduce the frame loss rate by using the observed channel status from each server peer. Simulation results show that the proposed algorithm enhances error-recovery performance in distributed multimedia streaming better than other schedulers.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Young H. JUNG, Hong-Sik KIM, Yoonsik CHOE, "Retransmission-Based Distributed Video Streaming with a Channel-Adaptive Packet Scheduler" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 3, pp. 696-703, March 2010, doi: 10.1587/transcom.E93.B.696.
Abstract: This paper describes a channel-adaptive packet scheduler for improved error control performance in a peer-cooperative distributed media streaming system. The proposed packet-scheduling algorithm was designed for the case in which streaming server peers rely on an error-recovery strategy using retransmission and application-layer automatic repeat request rather than error protection using forward error correction. The proposed scheduler can maximize retransmission opportunities and reduce the frame loss rate by using the observed channel status from each server peer. Simulation results show that the proposed algorithm enhances error-recovery performance in distributed multimedia streaming better than other schedulers.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.696/_p
Copy
@ARTICLE{e93-b_3_696,
author={Young H. JUNG, Hong-Sik KIM, Yoonsik CHOE, },
journal={IEICE TRANSACTIONS on Communications},
title={Retransmission-Based Distributed Video Streaming with a Channel-Adaptive Packet Scheduler},
year={2010},
volume={E93-B},
number={3},
pages={696-703},
abstract={This paper describes a channel-adaptive packet scheduler for improved error control performance in a peer-cooperative distributed media streaming system. The proposed packet-scheduling algorithm was designed for the case in which streaming server peers rely on an error-recovery strategy using retransmission and application-layer automatic repeat request rather than error protection using forward error correction. The proposed scheduler can maximize retransmission opportunities and reduce the frame loss rate by using the observed channel status from each server peer. Simulation results show that the proposed algorithm enhances error-recovery performance in distributed multimedia streaming better than other schedulers.},
keywords={},
doi={10.1587/transcom.E93.B.696},
ISSN={1745-1345},
month={March},}
Copy
TY - JOUR
TI - Retransmission-Based Distributed Video Streaming with a Channel-Adaptive Packet Scheduler
T2 - IEICE TRANSACTIONS on Communications
SP - 696
EP - 703
AU - Young H. JUNG
AU - Hong-Sik KIM
AU - Yoonsik CHOE
PY - 2010
DO - 10.1587/transcom.E93.B.696
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2010
AB - This paper describes a channel-adaptive packet scheduler for improved error control performance in a peer-cooperative distributed media streaming system. The proposed packet-scheduling algorithm was designed for the case in which streaming server peers rely on an error-recovery strategy using retransmission and application-layer automatic repeat request rather than error protection using forward error correction. The proposed scheduler can maximize retransmission opportunities and reduce the frame loss rate by using the observed channel status from each server peer. Simulation results show that the proposed algorithm enhances error-recovery performance in distributed multimedia streaming better than other schedulers.
ER -