Toward Reliable Controller Placements in Software-Defined Network Using Constrained Multi-Objective Optimization Technique

Saeed, Kanwal; Ullah, Muhammad Obaid

doi:10.1109/access.2022.3228039

Cited by 8 publications

(3 citation statements)

References 59 publications

(98 reference statements)

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“…The existing controller placement strategies in a multi‐controller SDN environment overlook a number of factors, including the path reliability for S2C and C2C connection and the adoption of an efficient ML algorithm 65 . Researchers presented the Constrained Multi‐Objective Heuristic Placement Approach (CMOHPA) technique based on the criteria of greatest S2C path reliability, limited S2C hop count, maximum C2C reliability, load‐balancing between the controllers, and a limited number of controllers to find the most suitable position of controllers.…”

Section: Controller Placement Problemmentioning

confidence: 99%

Controller placement problem during SDN deployment in the ISP/Telco networks: A survey

Sapkota,

Dawadi,

Joshi

2023

Engineering Reports

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With the successful implementation of Software‐Defined Networking (SDN) in data center networking, the way forward for its deployment in the ISP/Telco network is becoming prominent. Small and medium‐sized networks may easily adopt SDN. The research on SDN deployment and implementation for a large‐scale network is continuing. This paper properly presents the current research status of Controller Placement Problem (CPP) and Multi‐CPP (MCPP) over SDN with their specific challenges and provides a comprehensive review of the major performance metrics, that is, latency, and controller load balancing techniques. This survey highlights the use of network partitioning‐based CPP and clustering approaches and their benefits in the context of SDN deployment. Moreover, this paper highlights the importance of implementing SDN and SDN security issues into ISP/Telco networks. Finally, we provide some key areas of ongoing research and discuss the future research direction regarding the various SDN‐based Controller Placement (CP) issues in the next‐generation IP and advanced networking technologies.

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Section: Controller Placement Problemmentioning

confidence: 99%

Controller placement problem during SDN deployment in the ISP/Telco networks: A survey

Sapkota,

Dawadi,

Joshi

2023

Engineering Reports

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“…Multiple controllers provide benefits such as increased control, scalability, flexibility, and network visibility, as well as improved network performance and reliability [40]. The use of multiple controllers can also allow for better network abstraction, decision-making, and efficient traffic management, and can provide different tenants with more control over their network [41]. In summary, the following are the most important merits of multi-SDN controllers:…”

Section: Advantages Of Multi-sdn Controllermentioning

confidence: 99%

A Software-Defined UAV Network Using Queueing Model

2023

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To increase the redundancy and to provide seamless connectivity of the conventional communication systems, an unmanned aerial vehicle (UAV) enabled on-demand forwarding base station approach can be a flexible and dynamic solution, particularly for emergency services. However, managing and controlling these UAVs in changing scenarios can be challenging specifically in large-scale network scenarios. As a promising method of administering these networks, software-defined networking (SDN) can be a good choice compared to traditional networking due to its automated, centralized, and intellectual controllability. Therefore, to meet the future sixth-generation wireless communication requirements with high network availability, improved communication convergence, and intelligent features, a software-defined UAV (SDUAV) networking framework is proposed in this work. To enhance the reliability and scalability, and to reduce the single-point failure issues of this network, a multi-SDN controller-based approach is also deployed in this newly designed architecture. Besides, to solve the load balancing and fault tolerance problems like controller overhead or cascading failure, an adaptive load balancing algorithm as well as a robust hybrid routing algorithm are developed, accordingly. In addition, to evaluate the performance of the proposed architecture, a mathematical model is proposed by using the M/M/1 and M/M/c queueing systems at the primary and secondary controllers, respectively. Simulation results show that the proposed model reduces the packet processing time by 60%, 44%, and 25% in terms of packet arrival rate, service rate, and utilization factor, respectively, compared to the existing control-domain adjustment algorithm.

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“…Constrained multi-objective optimization problems (CMOPs) [ 1 , 2 ] are prevalent in many real-world applications, such as software-defined networks [ 3 ], path planning [ 4 ], wireless sensors deployment [ 5 ], and real-time systems [ 6 ]. Generally, a minimized CMOP can be defined as Equation ( 1 ).…”

Section: Introductionmentioning

confidence: 99%

A Multi-Objective Carnivorous Plant Algorithm for Solving Constrained Multi-Objective Optimization Problems

Yang

Zhang

2023

Biomimetics

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Satisfying various constraints and multiple objectives simultaneously is a significant challenge in solving constrained multi-objective optimization problems. To address this issue, a new approach is proposed in this paper that combines multi-population and multi-stage methods with a Carnivorous Plant Algorithm. The algorithm employs the ϵ-constraint handling method, with the ϵ value adjusted according to different stages to meet the algorithm’s requirements. To improve the search efficiency, a cross-pollination is designed based on the trapping mechanism and pollination behavior of carnivorous plants, thus balancing the exploration and exploitation abilities and accelerating the convergence speed. Moreover, a quasi-reflection learning mechanism is introduced for the growth process of carnivorous plants, enhancing the optimization efficiency and improving its global convergence ability. Furthermore, the quadratic interpolation method is introduced for the reproduction process of carnivorous plants, which enables the algorithm to escape from local optima and enhances the optimization precision and convergence speed. The proposed algorithm’s performance is evaluated on several test suites, including DC-DTLZ, FCP, DASCMOP, ZDT, DTLZ, and RWMOPs. The experimental results indicate competitive performance of the proposed algorithm over the state-of-the-art constrained multi-objective optimization algorithms.

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Toward Reliable Controller Placements in Software-Defined Network Using Constrained Multi-Objective Optimization Technique

Cited by 8 publications

References 59 publications

Controller placement problem during SDN deployment in the ISP/Telco networks: A survey

Controller placement problem during SDN deployment in the ISP/Telco networks: A survey

A Software-Defined UAV Network Using Queueing Model

A Multi-Objective Carnivorous Plant Algorithm for Solving Constrained Multi-Objective Optimization Problems

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