A Novel Multipath Load Balancing Algorithm in Fat-Tree Data Center

  • Authors:
  • Laiquan Han;Jinkuan Wang;Cuirong Wang

  • Affiliations:
  • Information Science and Engineering, Northeastern University, Shenyang, China 110004;Information Science and Engineering, Northeastern University, Shenyang, China 110004;Information Science and Engineering, Northeastern University, Shenyang, China 110004

  • Venue:
  • CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
  • Year:
  • 2009

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Abstract

The rapid development of CPU technology, storage technology and bandwidth improvement have given rise to a strong research interest in cloud computing technology. As a basic infrastructure component of cloud computing, data center becomes more and more important. Based on the analysis of transmission efficiency, a novel hierarchical flow multipath forward (HFMF) algorithm is proposed. HFMF can use adaptive flow-splitting schemes according to the corresponding level in the three-tier fat-tree topology. NS2 simulations prove that HFMF reduces the packet disorder arrival and achieves a better performance of load balancing in the data center.