• DocumentCode
    583063
  • Title

    Multicast Deployment of Cloud Operating Systems

  • Author

    Lee, Kuen-Min ; Teng, Wei-Guang ; Wu, Jin-Neng ; Huang, Kuo-Ming ; Ko, Yao-Hsing ; Hou, Ting-Wei

  • Author_Institution
    Dept. of Eng. Sci., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2012
  • fDate
    27-29 Oct. 2012
  • Firstpage
    163
  • Lastpage
    168
  • Abstract
    With cloud computing´s paradigm shift for IT industries, the concept of thin clients has become popular again. There are usually numerous nodes with various functions in a cloud computing system. It is important to deploy different cloud operating systems (cloud OSs) onto different nodes. The conventional method of using unicast deployment to distribute a massive cloud OS onto thousands of nodes is time consuming and bandwidth-intensive. In this work, we propose a multicast deployment approach to significantly improve deployment efficiency. Furthermore, our multicast deployment approach can leverage existing configurations of the unicast counterpart. Therefore, customized deployment for different groups of nodes can be achieved. To evaluate the feasibility of the proposed approach in practical applications, our deployment approach is implemented using CentOS and Ubuntu on many nodes. Empirical studies show that the required time for the entire distribution process is significantly reduced, from starting delivery until the OS is ready. Moreover, network bandwidth consumption is also significantly reduced compared with the conventional unicast deployment. Consequently, system administrators must spend less effort on monitoring and maintenance.
  • Keywords
    cloud computing; operating systems (computers); CentOS; IT industries; Ubuntu; cloud computing paradigm shift; cloud operating systems; customized deployment; deployment efficiency; massive cloud OS; multicast deployment approach; network bandwidth consumption; system administrators; unicast deployment; Bandwidth; Cloud computing; IP networks; Kernel; Random access memory; Servers; Unicast; cloud computing; deployment; multicast; preboot execution environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-4873-7
  • Type

    conf

  • DOI
    10.1109/CIT.2012.54
  • Filename
    6391893