• DocumentCode
    2247394
  • Title

    Optimizing electrical power consumption in SOA based optical packet switching nodes

  • Author

    Zhang, Shaotang ; Hu, Weisheng ; Sun, Weiqiang ; He, Hao

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2011
  • fDate
    13-16 Nov. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Since the underlying demand for network capacity can be satisfied only by extremely increasing transmission bit rate, processing speed, and switching capacity, it definitely will lead to increased power consumption of network nodes. Energy crisis is global crisis nowadays and it has brought up many problems. Power consumption is becoming a crucial issue in designing high-performance network devices. This paper studies the power consumption model of a kind of Optical Packet Switching (OPS) node based on Semiconductor Optical Amplifiers (SOA). Our results show that by dynamically adjusting the bias current of SOAs, the power consumption on an OPS node can be reduced considerably, especially when the traffic distribution across multiple ports is not balanced and inter-nodal distances vary. The total electrical power consumption can be cut off significantly. We also show the power consumption can be further reduced by jointly optimizing the thermoelectric cooler current.
  • Keywords
    optical communication equipment; optical switches; power consumption; semiconductor optical amplifiers; SOA; electrical power consumption; internodal distances; optical packet switching nodes; thermoelectric cooler current; Fabrics; Optical fibers; Power demand; Semiconductor optical amplifiers; Telecommunication traffic; Temperature control; OPS network; power consumption saving; semiconductor optical amplifier; switch fabric;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Photonics Conference and Exhibition, 2011. ACP. Asia
  • Conference_Location
    Shanghai
  • ISSN
    2162-108X
  • Print_ISBN
    978-0-8194-8961-6
  • Type

    conf

  • DOI
    10.1117/12.905434
  • Filename
    6210832