Multi criteria analysis of Controller Placement Problem in Software Defined Networks

Jalili, Ahmad; Keshtgari, Manijeh; Akbari, Reza; Javidan, Reza

doi:10.1016/j.comcom.2018.08.003

Cited by 38 publications

(33 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Currently, the architecture of the SDN control plane has been designed with either a single controller or the distributed/multiple controllers [1][2] [9] [18][19][20]. These control architectures are further classified into physically or logically centralized and physically or logically distributed, each with several different controller types as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

“…As leverage, multiple controllers have been proposed and introduced where more than one controller participate and work cooperatively in the forwarding decisions and the creation of multiple domains [1][2] [5]. In large-scale networks with multiple domains, several controllers are placed at different locations and assigned to monitor and control switches in each domain to enhance the network quality of service (QoS), traffic engineering, routing, fast failover [1] [2][5] [9] while ensuring that all controllers have the same global network view. Consequently, the overall network performance is significantly increased due to effective load distribution among different controllers.…”

Section: Introductionmentioning

confidence: 99%

“…Also, the overall reliability increases as the failure of one controller do not inhibit the network operations, making the network more efficient and scalable [1][5] [7] [9]. Despite these benefits, multiple controllers also bring about several challenges where optimal controller placement problem (CPP) is a typical issue [1][2][3][4][5][6][7][8][9][10]. For instance, to ensure network scalability, it is insufficient to merely increase the number of controllers or randomly placing the controllers anywhere as a satisfactory performance can't be achieved [7].…”

Section: Introductionmentioning

confidence: 99%

“…For instance, to ensure network scalability, it is insufficient to merely increase the number of controllers or randomly placing the controllers anywhere as a satisfactory performance can't be achieved [7]. This means multiple controllers have to be properly placed in appropriate locations to meet several requirements and this action involved network partitioning [1] [9] [12]. Nevertheless, partitioning the network into multiple control domains to achieve good network performance can introduce several challenges than anticipated in terms of reliability, load balancing, latency, computation time, etc.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, partitioning the network into multiple control domains to achieve good network performance can introduce several challenges than anticipated in terms of reliability, load balancing, latency, computation time, etc. [1] [9]. It is against this backdrop that network engineers are faced with the CPP conundrum, prompting the search for answers to critical questions such as how to identify a minimum number of controllers, how to partition the network, where to locate each controller, and how to allocate controllers to switches and so on [1][2][3][5] [8][9] [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Comprehensive Review of SDN Controller Placement Strategies

et al. 2020

View full text Add to dashboard Cite

Software-Defined Networking (SDN) is a network paradigm introduced to overcome the inherent challenges of traditional networks. Its architecture is either deployed with a single controller or multiple controllers. While the first is not suitable for large-scale networks, the latter is confronted with a controller placement problem (CPP) in a large-scale network environment. CPP involves the challenge of deploying the optimal number of controllers within a network while meeting certain performance requirements considered conflicting in nature such as reliability, load balancing, latency, energy efficiency, and computation time. A single optimal or random placement may not be feasible in CPP and careful planning is of the essence to find an appropriate trade-off among the metrics. To achieve this, several CPP approaches have been proposed, developed, and deployed over the years, each having its unique objectives, strengths, and weaknesses. Therefore, this paper performed a comprehensive review of some of the existing approaches to identify the unique solutions offered, comprehend the different strategies and the challenges that exist as well as provide researchers with future directions aimed at improving the optimum location and allocation of controllers, in particular, for SDN application in wireless sensor network (WSN). The findings revealed several existing solutions and algorithms as well as several challenges such as the need for an efficient algorithm, attack-aware, cost-aware, and energy-aware CPP schemes while achieving a good quality of service.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Comprehensive Review of SDN Controller Placement Strategies

et al. 2020

View full text Add to dashboard Cite

show abstract

Markov chain‐based analysis and fault tolerance technique for enhancing chain‐based routing inWSNs

Jalili,

Alzubi,

Rezaei

et al. 2024

Concurrency and Computation

View full text Add to dashboard Cite

SummaryWireless sensor networks (WSNs) are faced with the challenge of energy conservation, which makes efficient routing protocols crucial for prolonging network lifetime. In addition, delay time from sensors to the base station is critical in applications such as military, medical, and security monitoring systems. Chain‐based protocols like PEGASIS, CCBRP, and CCM have been developed to address routing in WSNs, with the aim of reducing energy consumption and delay. However, node failures are inevitable due to energy reduction and node mobility. Therefore, fault tolerance techniques must be integrated into routing protocols. A new fault tolerance method has been proposed to prevent early chain failures in WSNs by formulating network availability and reliability using Markov chain analysis. The results indicate that chain‐based routing protocols with one spare node are more reliable than those with two spare nodes.

show abstract

Dynamic controller placement insoftware‐definednetworks for reducing costs and improving survivability

Seyedkolaei

Seno

Moradi

2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Software‐defined networks are a modern architecture in computer networks where traffic transfer is separated from network control. In software‐defined networks, all decisions are made in the controller, and the necessary commands are injected into the network equipment. With the advent of software‐defined networks and the introduction of a new concept called controller in these types of networks, it becomes important to find an appropriate location for the controller and its number in the network. This problem aims to find the location and the optimal number of controllers needed in the network, and how to assign switches to the controllers declined certain constraints. In this article, a method to determine the appropriate location for controllers is proposed, so that the cost of network implementation would be reduced and thus its survivability is improved. Finally, we analyzed the proposed method in terms of evaluation criteria.

show abstract

Multi criteria analysis of Controller Placement Problem in Software Defined Networks

Cited by 38 publications

References 22 publications

Comprehensive Review of SDN Controller Placement Strategies

Comprehensive Review of SDN Controller Placement Strategies

Markov chain‐based analysis and fault tolerance technique for enhancing chain‐based routing inWSNs

Dynamic controller placement insoftware‐definednetworks for reducing costs and improving survivability

Contact Info

Product

Resources

About