Research on SDN-based Load Balancing Technology of Server Cluster

Tianfang YU; Lanlan RUI; Xuesong QIU

doi:10.11999/JEIT180207

Volume 40 Issue 12

Nov. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(12): 3028-3035

Tianfang YU, Lanlan RUI, Xuesong QIU. Research on SDN-based Load Balancing Technology of Server Cluster[J]. Journal of Electronics & Information Technology, 2018, 40(12): 3028-3035. doi: 10.11999/JEIT180207

Citation:

Tianfang YU, Lanlan RUI, Xuesong QIU. Research on SDN-based Load Balancing Technology of Server Cluster[J]. Journal of Electronics & Information Technology, 2018, 40(12): 3028-3035. doi: 10.11999/JEIT180207

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Research on SDN-based Load Balancing Technology of Server Cluster

doi: 10.11999/JEIT180207

State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

Funds: The National Natural Science Foundation of China (61702048, 61302078)

Received Date: 2018-02-28
Rev Recd Date: 2018-08-13

Available Online: 2018-08-22

Publish Date: 2018-12-01

Abstract

Abstract

Under the present network architecture, it is disadvantageous for scalability and service performance of server cluster to adopt hardware systems to realize load balancing of server cluster, because there are some restriction factors in such a method, including the difficulty of acquiring load nodes status and the complexity of redirecting traffic, etc. To solve the problem, a Load Balancing mechanism based on Software-Defined Networking (SDNLB) is proposed. With superiorities of SDN such as centralized control and flexible traffic scheduling, SDNLB monitors run states of servers and overall network load information by means of SNMP protocol and OpenFlow protocol in real time, and chooses the highest weight server as target server aiming for processing coming flows through the way of weight value calculation. On this basis, SDNLB takes full advantage of the optimal forwarding path algorithm to carry on traffic scheduling, and achieves the goal that raises utilization rate and processing performance of server cluster. An experiment platform is built to carry out simulation tests for overall performance of SDNLB, and the experiment results show that under the same network load conditions, SDNLB lowers effectively loads of server cluster, noticeably raises network throughput and bandwidth utilization, and reduces finish time and average latency of flows, compared with other load balancing algorithms.
- Software-Defined Networking (SDN),
- OpenFlow,
- Server cluster,
- Load balancing,
- Traffic engineering

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References(17)

References

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