Table of Contents Author Guidelines Submit a Manuscript
Volume 2018, Article ID 7563170, 12 pages
Research Article

Application and Analysis of Multicast Blocking Modelling in Fat-Tree Data Center Networks

College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China

Correspondence should be addressed to Songtao Guo; nc.ude.uqc@oatgnosoug

Received 23 May 2017; Accepted 8 November 2017; Published 11 January 2018

Academic Editor: Dimitri Volchenkov

Copyright © 2018 Guozhi Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Multicast can improve network performance by eliminating unnecessary duplicated flows in the data center networks (DCNs). Thus it can significantly save network bandwidth. However, the network multicast blocking may cause the retransmission of a large number of data packets and seriously influence the traffic efficiency in data center networks, especially in the fat-tree DCNs with multirooted tree structure. In this paper, we build a multicast blocking model and apply it to solve the problem of network blocking in the fat-tree DCNs. Furthermore, we propose a novel multicast scheduling strategy. In the scheduling strategy, we select the uplink connecting to available core switch whose remaining bandwidth is close to and greater than the three times of bandwidth multicast requests so as to reduce the operation time of the proposed algorithm. Then the blocking probability of downlink in the next time-slot is calculated in multicast subnetwork by using Markov chains theory. With the obtained probability, we select the optimal downlink based on the available core switch. In addition, theoretical analysis shows that the multicast scheduling algorithm has close to zero network blocking probability as well as lower time complexity. Simulation results verify the effectiveness of our proposed multicast scheduling algorithm.