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Volume 41 Issue 4
Mar.  2019
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Hong TANG, Xinxin WANG, Yixing LIU. A Traffic Scheduling Algorithm for Bandwidth Fragmentation Minimization and QoS Guarantee in Data Center Network[J]. Journal of Electronics & Information Technology, 2019, 41(4): 987-994. doi: 10.11999/JEIT180466
Citation: Hong TANG, Xinxin WANG, Yixing LIU. A Traffic Scheduling Algorithm for Bandwidth Fragmentation Minimization and QoS Guarantee in Data Center Network[J]. Journal of Electronics & Information Technology, 2019, 41(4): 987-994. doi: 10.11999/JEIT180466

A Traffic Scheduling Algorithm for Bandwidth Fragmentation Minimization and QoS Guarantee in Data Center Network

doi: 10.11999/JEIT180466
Funds:  The Changjiang Scholars and Innovative Research Team Program in University (IRT_16R72)
  • Received Date: 2018-05-16
  • Rev Recd Date: 2018-11-16
  • Available Online: 2018-12-04
  • Publish Date: 2019-04-01
  • With the rapid growth of Data Center Network (DCN) traffic, how to improve the performance and service quality of data center network become a research hotspot. However, when the network load increases, the existing traffic scheduling algorithm on the one hand may cause bandwidth fragmentation results in the network throughput decrease, on the other hand, it neglects the traffic application requirements to lead to poor QoS. Therefore, a dynamic traffic scheduling algorithm for bandwidth fragmentation minimization and QoS guarantee is proposed. The algorithm takes into account the different requirements of the bandwidth-sensitive large flows, and delay sensitive and packet-loss sensitive small flows. Firstly, the shortest path set is established according to the source address and destination address of the to-be-scheduled flow. Secondly, all the paths that satisfy the bandwidth requirement of the to-be-scheduled flow are selected. Then, the weight function is established for each path according to the free bandwidth of the path and the application requirements of the small flow. Finally, the forwarding path is selected based on the weight function value by roulette algorithm. The network simulation results show that when the network load increases, the proposed algorithm reduces the packet loss rate and delay of small flows, and improves the network throughput compared with other algorithms.

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