Efficient load balancing for multi-controller in SDN-based mission-critical networks

Hai, Nguyen Tien; Kim, Dong-Seong

doi:10.1109/indin.2016.7819196

Cited by 33 publications

(13 citation statements)

References 9 publications

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“…The use of these mechanisms reduces the networks packets loss and latency. The load balancing aspect of resilience is discussed in many studies [46][47][48][49].…”

Section: Load Balancing Objectivesmentioning

confidence: 99%

“…A more general aspect to it is the Resource Utilization metric which is the percentage of the resources usage [60]. Overhead: It is the excessive memory, bandwidth, or other resources used to carry communication informations, flow statistics or synchronization data [61,62]. Forwarding entries: The lower the number of forwarding entries, which decides the packet management rules, is the more effective is the usage of memory resources [63].…”

Section: Load Balancing Metricsmentioning

confidence: 99%

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A Taxonomy of Load Balancing Mechanisms in Centralized and Distributed SDN Architectures

Chahlaoui

Dahmouni

2020

SN COMPUT. SCI.

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Recent Research have shown that software-defined networking (SDN) drastically improves network resource utilization, manages today's complex networks and reduces cost. The rapid development of technology and the explosively growing information services as well as the increasing number of users, have made the load distribution a huge issue that could eventually impact the network's performance and its quality of service. The need for SDN comes from the load-balancing problematic which could reduce the availability of network applications, resource utilization and QoS indicators such as latency, throughput and response time. In this paper, we analyze the impact of software-defined networks design and the architecture of its control plane on the load-balancing methods efficiency. We present a detailed analysis of some load-balancing algorithms and metrics in centralized and distributed SDN architectures. We also introduce some of the load-balancing mechanisms applied in 5G networks in particular.

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“…The use of these mechanisms reduces the networks packets loss and latency. The load balancing aspect of resilience is discussed in many studies [46][47][48][49].…”

Section: Load Balancing Objectivesmentioning

confidence: 99%

Section: Load Balancing Metricsmentioning

confidence: 99%

A Taxonomy of Load Balancing Mechanisms in Centralized and Distributed SDN Architectures

Chahlaoui

Dahmouni

2020

SN COMPUT. SCI.

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“…It should be maximized in load balancing. Communication, 45 synchronization, 46 and messages exchange and data stored overhead 47 are different types of overhead. 44 Overhead: It is any composition of excessive or indirect bandwidth, computation time, memory, or other resources that are required to perform a specific task.…”

Section: Parameters Of Load Balancingmentioning

confidence: 99%

Nature‐inspired meta‐heuristic algorithms for solving the load balancing problem in the software‐defined network

Neghabi

Navimipour

Hosseinzadeh

et al. 2019

Int J Communication

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The growth of the networks has difficult network management. Recently, a concept called software-defined network (SDN) has been proposed to address this issue, which makes network management more adaptable. Control and forwarding planes are separated in SDN. The control plane is a centralized logical controller that controls the network. The forwarding plane that consists of transfer devices is responsible for transmitting packets. Because the network resources are limited, optimizing the use of resources in the networks is an important issue. Load balancing improves the balanced distribution of loads across multiple resources in order to maximize the reliability and network resources efficiency. SDN controllers can create an optimal load balancing compared to traditional networks because they have a network global view. The load-balancing problem can be solved using many different natureinspired meta-heuristic techniques because it has the NP-complete nature.Hence, for solving load balancing problem in SDN, nature-inspired metaheuristic techniques are important methods. However, to the best of our knowledge, there is not a survey or systematic review on studying these matters. Accordingly, in the area of the load balancing in the SDN, this paper reviews systematically the nature-inspired meta-heuristic techniques. Also, this study demonstrates advantages and disadvantages regarded of the chosen nature-inspired meta-heuristic techniques and considers their algorithms metrics. Moreover, to apply better load balancing techniques in the future, the important challenges of these techniques have been investigated.

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“…Trends of cloud computing services also apply to military services, where SDN networks with one network controller often are pointed out as a critical part of the infrastructure [74]. Hai et al [84] suggests an efficient way to overcome the SPoF problem by putting a redundant load balancer in front of a pair of network controllers. However, multi-controller orchestration is not mentioned in the article.…”

Section: Sdn Control Plane Resilience and Securitymentioning

confidence: 99%

A Systematic Literature Review on Military Software Defined Networks

2018

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Software Defined Networking (SDN) is an evolving network architecture paradigm that focuses on the separation of control and data planes. SDN receives increasing attention both from academia and industry, across a multitude of application domains. In this article, we examine the current state of obtained knowledge on military SDN by conducting a systematic literature review (SLR). Through this work, we seek to evaluate the current state of the art in terms of research tracks, publications, methods, trends, and most active research areas. Accordingly, we utilize these findings for consolidating the areas of past and current research on the examined application domain, and propose directions for future research.

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Efficient load balancing for multi-controller in SDN-based mission-critical networks

Cited by 33 publications

References 9 publications

A Taxonomy of Load Balancing Mechanisms in Centralized and Distributed SDN Architectures

A Taxonomy of Load Balancing Mechanisms in Centralized and Distributed SDN Architectures

Nature‐inspired meta‐heuristic algorithms for solving the load balancing problem in the software‐defined network

A Systematic Literature Review on Military Software Defined Networks

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