A Weighted Optimal Scheduling Scheme for Congestion Control in Cloud Data Center Networks

Yun Li, Shi Jie Jian, Sun Yuan Hsieh, Wei Kang Chung, Albert Y. Zomaya

研究成果: Article同行評審


Cloud services are experiencing a remarkable increase in the number of users and the resource required over the past few years. Thus, it has become a great challenge for the internet vendors to make a robust framework to serve the customers with low cost and delay. Congestion control is one of the essential topics of routing algorithms in cloud data center networks. In this paper, we propose a weighted optimal scheduling scheme WSPR for congestion control in cloud data center networks which prevents the congestion in advance with the global view so that it can make good use of vacant network resources. We choose BCube as our network model and modify the network topology to fit software-defined networks so as to have a full view of the topology. First, we design the SP graph which contains all shortest paths between a source server and a destination server. Second, we propose WSPR to allocate the most appropriate path to each flow for congestion control. We implement a system to simulate a data center, and evaluate our proposed scheme WSPR by comparing WSPR with other classical methods. The experimental results demonstrate that our proposed scheme WSPR has the best performance in terms of the maximum delay, average delay, and throughput among all compared methods.

頁(從 - 到)2402-2410
期刊IEEE Transactions on Services Computing
出版狀態Published - 2023 7月 1

All Science Journal Classification (ASJC) codes

  • 硬體和架構
  • 電腦科學應用
  • 電腦網路與通信
  • 資訊系統與管理


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