TY - GEN
T1 - MRDC
T2 - Joint 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016
AU - Mao, Kun Peng
AU - Guo, Songtao
AU - Yang, Yuanyuan
AU - Liu, Guiyan
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016
Y1 - 2016
N2 - For data center networks (DCNs), it is very important to perform multicast transmission reliably. However, due to packet loss in DCNs, not only the reliability of data transmission should be guaranteed, but also the network throughput should be maintained stably. To this end, in this paper, we design a multicast fat-tree data restoration strategy (MRDC). The advantage of MRDC is that it can haul back to restore the server with data packet loss so that the server can receive the same data as the previous data transmission without the help of the source server. Thus, MRDC can effectively reduce the packet loss and improve transmission efficiency without increasing data restoration cost significantly, which is especially important for more reliable multicast. MRDC reduces subscribes in the network and avoid the congestion by choosing the optimal data restoration links. Simulation results show that MRDC can efficiently reduce packet loss rate, and increase throughput of servers while not increasing the link load and CPU usage rate significantly.
AB - For data center networks (DCNs), it is very important to perform multicast transmission reliably. However, due to packet loss in DCNs, not only the reliability of data transmission should be guaranteed, but also the network throughput should be maintained stably. To this end, in this paper, we design a multicast fat-tree data restoration strategy (MRDC). The advantage of MRDC is that it can haul back to restore the server with data packet loss so that the server can receive the same data as the previous data transmission without the help of the source server. Thus, MRDC can effectively reduce the packet loss and improve transmission efficiency without increasing data restoration cost significantly, which is especially important for more reliable multicast. MRDC reduces subscribes in the network and avoid the congestion by choosing the optimal data restoration links. Simulation results show that MRDC can efficiently reduce packet loss rate, and increase throughput of servers while not increasing the link load and CPU usage rate significantly.
KW - Congestion control
KW - Date center networks
KW - Date restoration
KW - Packet loss
UR - https://www.scopus.com/pages/publications/85015151429
U2 - 10.1109/TrustCom.2016.0234
DO - 10.1109/TrustCom.2016.0234
M3 - Conference contribution
AN - SCOPUS:85015151429
T3 - Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016
SP - 1500
EP - 1507
BT - Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 23 August 2016 through 26 August 2016
ER -