A Review of SDN-Based Controller Placement Problem

Mbodila, Munienge; Isong, Bassey; Gasela, Naison

doi:10.1109/imitec50163.2020.9334130

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…The authors compare results obtained by different classes of algorithms, such as clustering, integer linear and quadratic programming, evolutionary bio-based, genetic, heuristic, greedy, and simulated annealing based on requirements such as latency, load balancing, fault tolerance, the optimal number of controllers, cost, and control plane communication. In [ 13 ], the authors divided existing solutions for controller placement problems into “capacitated” and “uncapacitated” categories. Both categories aim to decrease the number of controller failures; however, the second one does not consider the controller’s load and capacity during its placement as a constraint.…”

Section: Introduction and An Overview Of Existing Resultsmentioning

confidence: 99%

Diffusion Model of Preemptive-Resume Priority Systems and Its Application to Performance Evaluation of SDN Switches

Nycz

Czachórski

Nycz

2021

Sensors

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The increasing use of Software-Defined Networks brings the need for their performance analysis and detailed analytical and numerical models of them. The primary element of such research is a model of a SDN switch. This model should take into account non-Poisson traffic and general distributions of service times. Because of frequent changes in SDN flows, it should also analyze transient states of the queues. The method of diffusion approximation can meet these requirements. We present here a diffusion approximation of priority queues and apply it to build a more detailed model of SDN switch where packets returned by the central controller have higher priority than other packets.

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Section: Introduction and An Overview Of Existing Resultsmentioning

confidence: 99%

Diffusion Model of Preemptive-Resume Priority Systems and Its Application to Performance Evaluation of SDN Switches

Nycz

Czachórski

Nycz

2021

Sensors

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“…The last row of Table 1 indicates the factors considered for energy saving for the solution proposed in this work. Note that several studies have addressed the CP problem [31][32][33][34][35][36][37]. However, only some of them consider energy savings as a location criterion [28,38,39].…”

Section: Related Workmentioning

confidence: 99%

Energy-and-Blocking-Aware Routing and Device Assignment in Software-Defined Networking—A MILP and Genetic Algorithm Approach

Riveros-Rojas,

Cespedes-Sanchez,

Pinto-Roa

et al. 2024

MCA

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Internet energy consumption has increased rapidly, and energy conservation has become a significant issue that requires focused research efforts. The most promising solution is to identify the minimum power subsets within the network and shut down unnecessary network devices and links to satisfy traffic loads. Due to their distributed network control, implementing a centralized and coordinated strategy in traditional networks is challenging. Software-Defined Networking (SDN) is an emerging technology with dynamic, manageable, cost-effective, and adaptable solutions. SDN decouples network control and forwarding functions, allowing network control to be directly programmable, centralizing control with a global network view to manage power states. Nevertheless, it is crucial to develop efficient algorithms that leverage the centralized control of SDN to achieve maximum energy savings and consider peak traffic times. Traffic demand usually cannot be satisfied, even when all network devices are active. This work jointly addresses the routing of traffic flows and the assignment of SDN devices to these flows, called the Routing and Device Assignment (RDA) problem. It simultaneously seeks to minimize the network’s energy consumption and blocked traffic flows. For this approach, we develop an exact solution based on Mixed-Integer Linear Programming (MILP) as well as a metaheuristic based on a Genetic Algorithm (GA) that seeks to optimize both criteria by routing flows efficiently and suspending devices not used by the flows. Conducted simulations on traffic environment scenarios show up to 34% savings in overall energy consumption for the MILP and 33% savings achieved by the GA. These values are better than those obtained using competitive state-of-the-art strategies.

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Centrality Based Algorithms for Controller Placements in Software Defined Wide Area Networks

Adebayo

Adigun

Mudali

2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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A Review of SDN-Based Controller Placement Problem

Cited by 4 publications

References 19 publications

Diffusion Model of Preemptive-Resume Priority Systems and Its Application to Performance Evaluation of SDN Switches

Diffusion Model of Preemptive-Resume Priority Systems and Its Application to Performance Evaluation of SDN Switches

Energy-and-Blocking-Aware Routing and Device Assignment in Software-Defined Networking—A MILP and Genetic Algorithm Approach

Centrality Based Algorithms for Controller Placements in Software Defined Wide Area Networks

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