Real-time traffic management on optical networks using dynamic control of cycle duration

被引:0
|
作者
Yu, CC [1 ]
Bhattacharya, S
机构
[1] Arizona State Univ, Dept Comp Sci & Engn, Tempe, AZ 85287 USA
[2] Honeywell Technol Ctr, Phoenix, AZ USA
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a new approach to real-time traffic management over a multihop optical network. Unlike the current preemption-based real-time traffic scheduling approaches (where, the QoS of the preempted traffic may suffer significantly), the proposed approach is based on dynamic creation of logical channels to support new arriving real-time messages. The logical channels are mapped to the TWDM (time-wave division multiplexed) transmission schedule of the optical media. Since, the new logical channels can support the fresh arrival of real-time messages, it may no longer be necessary to preempt an existing message. This feature offers significant QoS benefits to the existing traffic. The price paid for creation of the logical channel(s) is via an extension of the cycle time in the TWDM transmission schedule. Such extension of the cycle time imparts a uniform degree of slowdown to all the existing channels, and enforces excellent load balancing. A state machine model for dynamic control (i.e., extension, and/or shrinking) of the TWDM transmission schedule is proposed. Performance is measured using simulation.
引用
收藏
页码:174 / 188
页数:15
相关论文
共 50 条
  • [1] Dynamic Real-time Traffic Management in WLANs
    Olvera, E.
    Ramos, V.
    [J]. IEEE LATIN AMERICA TRANSACTIONS, 2017, 15 (11) : 2200 - 2206
  • [2] Real-time traffic management in sensor networks
    Karenos, Kyriakos
    Kalogeraki, Vana
    [J]. 27TH IEEE INTERNATIONAL REAL-TIME SYSTEMS SYMPOSIUM, PROCEEDINGS, 2006, : 422 - +
  • [3] Adaptive, real-time traffic control management
    Nakamiti, G.
    Freitas, R.
    [J]. International Journal of Automotive Technology, 2002, 3 (03) : 89 - 94
  • [4] Real-Time Dynamic Traffic Routing Using Variable Structure Control
    Majid, Hirsh
    Abouaissa, Hassane
    Jolly, Daniel
    Morvan, Gildas
    [J]. 2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC), 2013, : 1278 - 1283
  • [5] Real-Time Power Control for Dynamic Optical Networks - Algorithms and Experimentation
    Birand, Berk
    Wang, Howard
    Bergman, Keren
    Kilper, Dan
    Nandagopal, Thyaga
    Zussman, Gil
    [J]. 2013 21ST IEEE INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS (ICNP), 2013,
  • [6] A Dynamic Model and Algorithm for Real-Time Traffic Management
    Teja, M. N. V. M. Sai
    Sree, N. Lasya
    Harshitha, L.
    Bhargav, P. Venkata
    Bhaskar, Nuthanakanti
    Reddy, V. Dinesh
    [J]. Smart Innovation, Systems and Technologies, 2022, 282 : 599 - 610
  • [7] Dynamic Scheduling Management for Periodic Real-Time Traffic
    Feng, Chang
    Jiang, Yu
    Jun, Chang
    Xin, Tian
    [J]. PROCEEDINGS 2013 INTERNATIONAL CONFERENCE ON MECHATRONIC SCIENCES, ELECTRIC ENGINEERING AND COMPUTER (MEC), 2013, : 2039 - 2042
  • [8] Neural networks for real-time traffic signal control
    Srinivasan, Dipti
    Choy, Min Chee
    Cheu, Ruey Long
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2006, 7 (03) : 261 - 272
  • [9] Real-Time Power Control for Dynamic Optical Networks-Algorithms and Experimentation
    Birand, Berk
    Wang, Howard
    Bergman, Keren
    Kilper, Dan
    Nandagopal, Thyaga
    Zussman, Gil
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2014, 32 (08) : 1615 - 1628
  • [10] Real-time control of manufacturing cells using dynamic neural networks
    Rovithakis, GA
    Gaganis, VI
    Perrakis, SE
    Christodoulou, MA
    [J]. AUTOMATICA, 1999, 35 (01) : 139 - 149