Advanced Search
    Wang Binfeng, Su Jinshu, Chen Lin. Review of the Design of Data Center Network for Cloud Computing[J]. Journal of Computer Research and Development, 2016, 53(9): 2085-2106. DOI: 10.7544/issn1000-1239.2016.20150962
    Citation: Wang Binfeng, Su Jinshu, Chen Lin. Review of the Design of Data Center Network for Cloud Computing[J]. Journal of Computer Research and Development, 2016, 53(9): 2085-2106. DOI: 10.7544/issn1000-1239.2016.20150962

    Review of the Design of Data Center Network for Cloud Computing

    • Under the influence of the development of cloud computing, the data center network is going through tremendous changes, which are reflected not only in the improvement of network size, bandwidth, abundant links, scalability, agility and the cutting down of the cost, but also in other aspects, such as the support for the VMotion dynamically, the network virtualization etc. On the basis of the main challenges of data center network for cloud computing, the paper firstly describes the network architecture of data center for cloud computing in two different aspects, which regards switches and servers as the forwarding center respectively. Next, from the perspective of the flexible deployment of network resources, the paper deeply analyzes the related proposals and key technologies concerning the VMotion dynamically in data center for cloud computing. Further, in order to summarize the application of the network virtualization in data center for cloud computing in detail, the paper mainly analyzes a variety of designs for the virtual network architecture, which includes two different types: the scalability type and the performance guaranteed type. Finally, taking the rapid development of advanced technologies into account, the paper puts forward several points of future prediction in terms of the development of data center network for cloud computing.
    • loading

    Catalog

      Turn off MathJax
      Article Contents

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return