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EFSUTE: a novel efficient and survivable traffic engineering for software defined networks

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Abstract

Computer networks are the fundamental infrastructure of intelligent environments (IEs). Software defined network (SDN) is an emerging software-based network architecture that separates the control plane from data plane to facilitate dynamic network management and configuration; two important parameters which are essential in real-time IEs. This separation alleviates network administrators to implement efficient fault tolerance strategies and increasing reliability and quality of service (QoS). Hence, they can make their networks more reliable and as a result, decrease the adverse effects due to network failures. As a result, SDN is a candidate for using in new IEs such as internet of things (IoT). The control plane of SDN can be deployed on the IoT cloud server to manage the entire network. Link failure is one of the most common and critical failures in such computer networks which causes dropping of data packets and reduces network performance considerably. A survivable traffic engineering (TE) method can provide protection against link failures and heighten the reliability of data transmission. To this purpose, this paper proposes an efficient and survivable software-based TE model over SDN called EFSUTE to increase reliability in real-time IEs. EFSUTE leverages the capabilities of SDN to compute and install two disjoint paths between any source–destination pair in the network. EFSUTE models network routing as a Shared Risk Link Group problem which provides topological diversity. This policy increases the survivability by providing alternative paths between network hosts. To prove the effectiveness of EFSUTE, we conducted extensive simulations and compared it with restoration techniques. Experimental results confirm that EFSUTE can be practically used in SDN and efficiently protects the network traffics against link failures to increase safety and provides a reliable software based infrastructure with QoS for real-time IEs.

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Authors and Affiliations

  1. Computer Engineering Department, Bu-Ali Sina University, Hamedan, Iran

    Reza Mohammadi

  2. Department of Computer Engineering and Information Technology, Shiraz University of Technology, Shiraz, Iran

    Reza Javidan

Authors
  1. Reza Mohammadi
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  2. Reza Javidan
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Correspondence to Reza Mohammadi.

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Mohammadi, R., Javidan, R. EFSUTE: a novel efficient and survivable traffic engineering for software defined networks. J Reliable Intell Environ 8, 247–260 (2022). https://doi.org/10.1007/s40860-021-00139-0

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  • DOI: https://doi.org/10.1007/s40860-021-00139-0

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