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Toward PTNET Network Topology Analysis and Routing Algorithm Design

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1179))

Abstract

In recent years, data center network is used for transmission, storage and processing of big data, which plays an important role for applications in cloud computing and CDN distribution. Network topology and routing algorithm are its core research content and key technical issues. The traditional network topology is difficult to guarantee the quality of service in scalability and fault tolerance. The server-centric data center network topology can ensure the scale of the data center network by recursively increasing the number of network nodes and links. relative to the Dcell, BCube, and BCCC typical network topology, PTNet network as a typical representative of a new type of the server-centric data center network topology, which has more advantages in scalability, fault tolerance and so on. Multicast and broadcast in data center network have more application scenarios and use value. For example, the video conference online, multimedia remote education and other development are inseparable from the application and promotion of network multicast and broadcast. So it is necessary to research the routing algorithms of multicast and broadcast in the network. Based on the deep research of PTNet network, this paper analyzes and researches the network topology, multicast and broadcast routing algorithm.

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Acknowledgement

This work was supported by National Natual Science Foundation of China (61672209, 61701170), China Postdoctoral Science Foundation funded project (2014M560439), Jiangsu Planned Projects for Postdoctoral Research Funds (1302084B), Scientific & Technological Support Project of Jiangsu Province (BE2016185).

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Correspondence to Zhijie Han .

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Han, Z., Zhang, Q., Du, X., Guo, K., He, M. (2020). Toward PTNET Network Topology Analysis and Routing Algorithm Design. In: He, J., et al. Data Science. ICDS 2019. Communications in Computer and Information Science, vol 1179. Springer, Singapore. https://doi.org/10.1007/978-981-15-2810-1_57

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  • DOI: https://doi.org/10.1007/978-981-15-2810-1_57

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2809-5

  • Online ISBN: 978-981-15-2810-1

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