IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v80y2022i3d10.1007_s11235-022-00913-2.html
   My bibliography  Save this article

FRT-SDN: an effective firm real time routing for SDN by early removal of late packets

Author

Listed:
  • Shahrzad Sedaghat

    (Sharif University of Technology)

  • Amir Hossein Jahangir

    (Sharif University of Technology)

Abstract

On-time delivery of network flows is crucial to ensure the quality of service of deadline-constrained applications. Today, real time applications have various uses in multimedia communications, the Internet of Things (IoT), and 5G (5th generation mobile network) technology. In Software Defined Network (SDN) architecture, the controller has a global view of the network. Hence, it is possible to enrich the features of the controller and/or forwarding devices to support real time communication. In this paper, we propose a firm real time software-defined approach (FRT-SDN) for real time communication and present a novel solution for the real time forwarding/routing of time-sensitive applications in SDN. To this end, FRT-SDN divides traffic into real time and non-real-time flows, prematurely drops late packets that probably miss their deadlines according to a four-stage mathematical modeling, and uses adaptive multipath routing, Earliest Deadline First (EDF) scheduling algorithm, and prioritized queues. We evaluate FRT-SDN with the Mininet tool. Emulation results show that FRT-SDN yields a 23–97% improvement in deadline hit ratio and an 88% decrease in the end-to-end delay and jitter. Hence, it effectively enhances the timeliness of the network. On the other hand, based on the correlation coefficient concept, the effect of network parameters on the average deadline hit ratio has been measured.

Suggested Citation

  • Shahrzad Sedaghat & Amir Hossein Jahangir, 2022. "FRT-SDN: an effective firm real time routing for SDN by early removal of late packets," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 80(3), pages 359-382, July.
    • Handle: RePEc:spr:telsys:v:80:y:2022:i:3:d:10.1007_s11235-022-00913-2
    DOI: 10.1007/s11235-022-00913-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-022-00913-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11235-022-00913-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. S. Zeadally & J. Guerrero & J. Contreras, 2020. "A tutorial survey on vehicle-to-vehicle communications," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 73(3), pages 469-489, March.
    2. Ali Alnoman & Alagan Anpalagan, 2017. "Towards the fulfillment of 5G network requirements: technologies and challenges," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 65(1), pages 101-116, May.
    3. Priyanka Kamboj & Sujata Pal, 2021. "A policy based framework for quality of service management in software defined networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(3), pages 331-349, November.
    4. Constant Colombo & Francis Lepage & René Kopp & Eric Gnaedinger, 2021. "Seamless Multicast : an SDN-based architecture for continuous audiovisual transport," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(2), pages 187-202, October.
    5. Jaroslav Frnda & Miroslav Voznak & Lukas Sevcik, 2016. "Impact of packet loss and delay variation on the quality of real-time video streaming," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(2), pages 265-275, June.
    6. Zhongyu Ma & Yanxing Liu & Qun Guo & Xiaochao Dang & Zhanjun Hao & Ran Tian, 2021. "QoTa-MPR: QoS-oriented and traffic-aware multi-path routing protocol for internet of remote things," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(4), pages 515-530, December.
    7. Dongwook Kim & Sungbum Kim, 2019. "Network slicing as enablers for 5G services: state of the art and challenges for mobile industry," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(3), pages 517-527, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Martine Wahl & Patrick Sondi & Lucas Rivoirard, 2021. "Enhanced CBL clustering performance versus GRP, OLSR and AODV in vehicular Ad Hoc networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 76(4), pages 525-540, April.
    2. Fareha Nizam & Teong Chee Chuah & Ying Loong Lee, 2023. "Quality of service driven hierarchical resource allocation for network slicing-enabled hybrid wireless–wireline access networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 83(4), pages 339-355, August.
    3. Kumar Prateek & Nitish Kumar Ojha & Fahiem Altaf & Soumyadev Maity, 2023. "Quantum secured 6G technology-based applications in Internet of Everything," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 82(2), pages 315-344, February.
    4. Juan Riol Martín & Raquel Pérez-Leal & Julio Navío-Marco, 2019. "Towards 5G: Techno-economic analysis of suitable use cases," Netnomics, Springer, vol. 20(2), pages 153-175, December.
    5. Qindong Sun & Han Cao & Wenjing Qi & Jingpeng Zhang, 2018. "Improving the security and quality of real-time multimedia transmission in cyber-physical-social systems," International Journal of Distributed Sensor Networks, , vol. 14(11), pages 15501477188, November.
    6. Dost Muhammad Saqib Bhatti & Yawar Rehman & Prem Singh Rajput & Saleem Ahmed & Pardeep Kumar & Dileep Kumar, 2021. "Machine learning based cluster formation in vehicular communication," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(1), pages 39-47, September.
    7. Intan Izafina Idrus & Tarik Abdul Latef & Narendra Kumar Aridas & Mohamad Sofian Abu Talip & Yoshihide Yamada & Tharek Abd Rahman & Ismahayati Adam & Mohd Najib Mohd Yasin, 2019. "A low-loss and compact single-layer butler matrix for a 5G base station antenna," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-23, December.
    8. P. M. Deepak & C. K. Ali, 2018. "Filter bank SCFDMA: an efficient uplink strategy for future communication systems," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 69(4), pages 529-543, December.
    9. Yekta Turk & Engin Zeydan & Cemal Alp Akbulut, 2019. "Experimental performance evaluations of CoMP and CA in centralized radio access networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(1), pages 115-130, September.
    10. Yuan Zhang, 2020. "Interference graph construction for D2D underlaying cellular networks and missing rate analysis," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 75(4), pages 383-399, December.
    11. Shichao Li & Qiuyun Wang & Weigang Kou & Dengtai Tan, 2019. "Joint remote radio heads and baseband units pool resource scheduling for delay-aware traffic in cloud radio access networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(1), pages 77-91, May.
    12. Miran Taha & Alejandro Canovas & Jaime Lloret & Aree Ali, 2021. "A QoE adaptive management system for high definition video streaming over wireless networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 77(1), pages 63-81, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:telsys:v:80:y:2022:i:3:d:10.1007_s11235-022-00913-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.