ZTE Communications ›› 2021, Vol. 19 ›› Issue (1): 82-90.DOI: 10.12142/ZTECOM.202101010

• Research Paper • Previous Articles    

Adaptability Analysis of Fluctuating Traffic for IP Switching and Optical Switching

LIAN Meng1, GU Rentao1(), JI Yuefeng1, WANG Dajiang2, LI Hongbiao2   

  1. 1.Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications, Beijing 100876, China
    2.Wireline Product Planning Department, ZTE Corporation, Shenzhen 518057, China
  • Received:2020-04-08 Online:2021-03-25 Published:2021-04-09
  • About author:LIAN Meng received the B.S. degree from Beijing University of Posts and Telecommunications, China in 2018. He is currently pursuing the master degree with the State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications. His research interests include intelligent optical network and IP-optical network survivability.|GU Rentao (rentaogu@bupt.edu.cn) received the B.E. and Ph.D. degrees from Beijing University of Posts and Telecommunications (BUPT), China in 2005 and 2010, respectively. From 2008 to 2009, he was a visiting scholar with the Georgia Institute of Technology, USA. He is currently a professor and Vice Dean in the School of Information and Telecommunication Engineering, BUPT. His current research interests include optical networking and intelligent information processing. He is a senior member of IEEE, China Institute of Communications, and Chinese Institute of Electronics.|JI Yuefeng received the Ph.D. degree from Beijing University of Posts and Telecommunications, China. He is currently a professor and the deputy director of the State Key Lab of Information Photonics and Optical Communications there. His research interests are primarily in the area of broadband communication networks and optical communications, with emphasis on key theory, realization of technology, and applications. He is a Fellow of the China Institute of Communications, Chinese Institute of Electronics, and IET.|WANG Dajiang is currently the product planning manager of ZTE’s Bearer Network. His main research interests include intelligent network analysis, intent based optical network, and the applications of digital twin in the field of optical network. He participated in 3 national science and technology projects related to intelligent optical network management and control, published more than 10 technical documents, and obtained more than 20 Chinese and International granted patents.|LI Hongbiao is currently the chief engineer of ZTE Bearer Network Product Line Planning. He has been engaged in the research and planning on SDN/NFV, IP + optical, and cloud datacenter products for many years. The related products and solutions have won many awards in SDN /NFV Global Conferences, China Institute of Communication, etc.
  • Supported by:
    National Key Research and Development Program(2018YFB1800504);the ZTE Research Fund, China

Abstract:

The technological development of smart devices and Internet of Things (IoT) has brought ever-larger bandwidth and fluctuating traffic to existing networks. The analysis of network capital expenditure (CAPEX) is extremely important and plays a fundamental role in further network optimizing. In this paper, an adaptability analysis is raised for IP switching and optical transport network (OTN) switching in CAPEX when the service bandwidth is fluctuating violently. This paper establishes a multi-layer network architecture through Clos network model and discusses impacts of maximum allowable blocking rate and service bandwidth standard deviation on CAPEX of IP network and OTN network to find CAPEX demarcation point in different situations. As simulation results show, when the bandwidth deviation mean rate is 0.3 and the maximum allowable blocking rate is 0.01, the hardware cost of OTN switching will exceed IP switching as the average bandwidth is greater than 6 100 Mbit/s. When the service bandwidth fluctuation is severe, the hardware cost of OTN switching will increase and exceed IP switching as the single port rate is allowed in optical switching. The increasing of maximum allowable blocking rate can decrease hardware cost of OTN switching. Finally, it is found that Flex Ethernet (FlexE) can be used to decrease CAPEX of OTN switching greatly at this time.

Key words: bandwidth fluctuating, CAPEX, OTN switching, IP switching, FlexE