• DocumentCode
    1868620
  • Title

    Sub-millisecond level latency sensitive Cloud Computing infrastructure

  • Author

    Wan, Zhitao

  • Author_Institution
    Research, Technology and Platforms, Nokia Siemens Networks, China
  • fYear
    2010
  • fDate
    18-20 Oct. 2010
  • Firstpage
    1194
  • Lastpage
    1197
  • Abstract
    The competitive market drives Telecom Operators to reduce the CAPEX (CAPital EXpenditure) and OPEX (Operational EXpenditure). The emerging Cloud Computing provides cheaper, easier to deploy and pay as you use model by using commodity computers. It provides the possibility to take over the workload on expensive dedicated hardware. But some of Telecom Network workload is latency sensitive of which current geographical distributed Cloud is incapable. This paper analyzed the latency in LTE network and Cloud then presents a new Cloud Computing infrastructure for latency sensitive applications in current Telecom Network. The simulation results show the new Cloud Computing infrastructure can limit the latency to around .2 ms with the CPU workload under 50%. It is sufficient to support sub-millisecond level latency sensitive applications in Cloud.
  • Keywords
    Long Term Evolution; cloud computing; telecommunication industry; CAPEX; LTE network; OPEX; capital expenditure; cloud computing infrastructure; commodity computers; competitive market; expensive dedicated hardware; geographical distributed cloud; latency sensitive application; operational expenditure; submillisecond level latency sensitive cloud computing infrastructure; telecom network workload; telecom operators; Cloud computing; Clouds; Computer architecture; Ethernet networks; Hardware; Radio access networks; Cloud Computing; Evolved RAN; Latency Sensitive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2010 International Congress on
  • Conference_Location
    Moscow
  • ISSN
    2157-0221
  • Print_ISBN
    978-1-4244-7285-7
  • Type

    conf

  • DOI
    10.1109/ICUMT.2010.5676670
  • Filename
    5676670