Proceedings of International Conference on Applied Innovation in IT  ·  2021/04/28  ·  Vol. 9  ·  Issue 1  ·  pp. 27–32
Mathematical Description of Control Problems in SDN Networks
Oleksandr Romanov, Eduard Siemens, Mikola Nesterenko, Volodymyr Mankivskyi
To improve the efficiency of networks, fully automate the processes of network management, administration and technological, reduce the time to market for modern services, ensure the introduction of new technologies throughout the network, and not gradually introduce them at individual sites, operators are starting the practical use of software-defined networks with virtualization network functions. The optimality of the decisions made, largely depends on the capabilities of the control plane in the SDN architecture. To obtain optimal solutions, a mathematical formulation of control problems is required, using real indicators of the functioning of telecommunication networks as input data. The paper proposes mathematical models of the process of functioning of the SDN network in the main modes of operation: in the mode of planned changes in the structure of the network, in the mode of normal functioning, when all performance indicators are within the specified values, in the overload mode. The results obtained make it possible to determine the list of required network elements, to distribute functions between the elements of the control system, to develop requirements for the monitoring system to collect the necessary initial data and to determine the interaction algorithm of the elements to obtain optimal solutions in the process of network management.
Controller SDN Software-Defined Networking Open Network Operating System ONOS Control Plane Disaggregation Message Distribution System OpenFlow Datapath Model
References
  1. Open Network Foundation. Accelerating the Adoption of SDN & NFV, 2021.
  2. Open Networking Foundation. OpenFlow Switch Specification Version 1.5.1 ( Protocol version 0x06 ), 2015.
  3. K. Pentikousis, IETF RFC 7426. Request for Comments: 7426. ISSN: 2070-1721 EICT.
  4. O. I. Romanov, M. V. Oryschuk, and Y. S. Hordashnyk. “Computing of influence of stimu- lated Raman scattering in DWDM telecommunication systems”, UkrMiCo, pp. 199-209, 2016.
  5. L. Globa, M. Skulysh, O. Romanov, and M. Nesterenko, “Quality Control for Mobile Communication Management Services in Hybrid Environment”, UkrMiCo, pp. 133-149, 2018.
  6. K. Pentikousis, ONOS. Security and Performance. Analysis: Report No. 1. September 19, 2017.
  7. O. Romanov and V. Mankivskyi, “Optimal Traffic Distribution Based on the Sectoral Model of Loading Network Elements”. [2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T)], 2019.
  8. O. Romanov, M. Nesterenko, and L. Veres, “Methods for calculating the performance indicators of ip multimedia subsystem (IMS)” in Lecture Notes in Networks and Systems, 2021, pp. 229-256.
  9. C. C. O'Connor, T. Vachuska, and B. Davie, “Software-Defined Networks: A Systems Approach”, 2021, р. 152.
  10. K. Phemius, M. Bouet, and J. Leguay, “Distributed Multi-domain SDN Controllers” in Thales Communications & Security, 2013, pp.198-209.
  11. J. Lam, S. Lee, and O. Yustus, “Securing SDN Southbound and Data Plane Communication with IBC” in Hindawi Publishing Corporation Mobile Information Systems, Volume 2016, p.12.
  12. K. Phemius, M. Bouet, and J. Leguay, “ONOS Intent Monitor and Reroute service: enabling plug&play routing logic” in Thales Communications & Security, 2013, p. 19.
  13. D. Comer and A. Rastegarnia, “Externalization of Packet Processing in Software Defined Networking”, 2019, p. 22.
  14. O. Romanov, M. Nesterenko, and V. Mankivskyi, “The usage of regress model coefficient utilization of channels for creating the load distribution plan in network” in visnyk ntuu kpi seriia-radiotekhnika radioaparatobuduvannia, 2016, pp. 34-42.

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