A Switch Migration-Based Decision-Making Scheme for Balancing Load in SDN

Wang, Chuan'an; Hu, Bo; Chen, Shanzhi; Li, Desheng; Liu, Bin

doi:10.1109/access.2017.2684188

Cited by 127 publications

(83 citation statements)

References 13 publications

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“…This section will discuss, dynamic controller placement methods [3,[18][19][20][21][22][23] including those multi-objectives approaches that feasible in dynamic changes of large network as stated in [24][25][26].…”

Section: Dynamic Controller Placementmentioning

confidence: 99%

“…Non-zero game theorem approach in [20] which performing load adaptation algorithms added on top of previous work ElastiCon for master controller reflection. The switch migration method as implemented in [19,[21][22][23] are some other enhanced DCPP approaches with load adaptation.…”

Section: Dynamic Controller Placementmentioning

confidence: 99%

“…Table 1 shows the performance summary of the several methods discussed in this paper which is in static controller placement methods [2,[4][5][6][7][8][9][10][11][12][13][14][15][16][17]. Table 2 shows the performance summary of dynamic controller placement methods in [3,[18][19][20][21][22][23][24][25][26]. There are many heuristic algorithms proposed by considering various objective functions to solve controller placement problem.…”

Section: Dynamic Controller Placementmentioning

confidence: 99%

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Controller Placement Algorithms in Software Defined Network - A Review of Trends and Challenges

et al. 2017

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Abstract. Traditional network architectures are complex to manage, comparatively static, rigid and difficult to make changes for new innovation. The proprietary devices in such architectures are based on manual configuration which are unwieldy and error-prone. Software Defined Network (SDN) which is described as a new network paradigm that decouple the control plane from data plane are capable to solve today's network issues and improve the network performance. Nevertheless, among so many challenges and research opportunity in SDN, Controller Placement Problem (CPP) is said to be the most important issues which can directly affect the overall network performance. Thus far, the issue regarding the CPP and its challenge has not been completely reviewed and discussed properly in any other papers. In this paper, we provide a comprehensive review on several optimized controller placement problem algorithms in SDN. This paper also highlights some limitations of the reviewed methods and also emphasizes on suitable approach to address the aforementioned problems.

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Section: Dynamic Controller Placementmentioning

confidence: 99%

Section: Dynamic Controller Placementmentioning

confidence: 99%

Section: Dynamic Controller Placementmentioning

confidence: 99%

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Controller Placement Algorithms in Software Defined Network - A Review of Trends and Challenges

et al. 2017

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“…Then, the master role for the random switch moves toward the random controller. Wang et al proposed a switch migration–based decision‐making scheme (SMDM) for balancing load among SDN controllers . If SMDM observes the imbalanced control traffic load among SDN controllers, SMDM moves master roles for switches from oversubscribed SDN controllers to undersubscribed SDN controllers.…”

Section: Background and Related Workmentioning

confidence: 99%

“…In these 2 scenarios, we compared our proposed scheme with previous schemes, the ONOS FCFS scheme (Figure ), DHA, SMDM, and CPMan . Among the previous schemes, CPMan has no definition when to change master roles for switches.…”

Section: Performance Evaluationmentioning

confidence: 99%

HeS‐CoP: Heuristic switch‐controller placement scheme for distributed SDN controllers in data center networks

Kim

Hong

et al. 2017

Int J Network Mgmt

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Summary Software‐defined networking (SDN) has been widely researched and used to manage large‐scale networks such as data center networks (DCNs). An early stage of SDN controller experienced low responsiveness, low scalability, and low reliability. To solve these problems, distributed SDN controllers have been proposed. The concept of distributed SDN controllers distributes control messages among multiple SDN controllers. However, distributed SDN controllers must assign a master controller for each networking devices. Most previous studies, however, did not consider the characteristics of DCNs. Thus, they are not suitable to operate in DCNs. In this paper, we propose HeS‐CoP, a heuristic switch‐controller placement scheme for distributed SDN controllers in DCNs. With the control traffic load and CPU load, HeS‐CoP decides when our scheme should be performed in DCNs. To show the feasibility of HeS‐CoP, we designed and implemented an orchestrator that contains our proposed scheme and then evaluated our proposed scheme. As a result, our proposed scheme well distributes the control traffic load, decreases the average CPU load, and reduces the packet delay.

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An SDN‐based scalable routing and resource management model for service provider networks

Çelenlioğlu

Tüysüz

Mantar

2018

Int J Communication

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Volume of the Internet traffic has increased significantly in recent years. Service providers (SPs) are now striving to make resource management and considering dynamically changing large volume of network traffic. In this context, software defined networking (SDN) has been alluring the attention of SPs, as it provides virtualization, programmability, ease of management, and so on. Yet severe scalability issues are one of the key challenges of the SDN due to its centralized architecture. First of all, SDN controller may become the bottleneck as the number of flows and switches increase. It is because routing and admission control decisions are made per flow basis by the controller. Second, there is a signaling overhead between the controller and switches since the controller makes decisions on behalf of them. In line with the aforementioned explanations, this paper proposes an SDN-based scalable routing and resource management model (SRRM) for SPs. The proposed model is twofold. SRRM performs routing, admission control, and signaling operations (RASOs) in a scalable manner.Additionally, resource management has also been accomplished to increase link use. To achieve high degree of scalability and resource use, pre-established paths (PEPs) between each edge node in the domain are provided. The proposed controller performs RASOs based on PEPs. The controller also balances the load of PEPs and adjusts their path capacities dynamically to increase resource use. Experimental results show that SRRM can successfully perform RASOs in a scalable way and also increase link use even under heavy traffic loads. KEYWORDScontroller design, OpenFlow, pre-established paths, resource management, software-defined net- working, virtualizationInt J Commun Syst. 2018;31:e3530.wileyonlinelibrary.com/journal/dac Software-defined networking (SDN) 1 is an emerging network architecture. It allows network operators to perform disjoint network operations (eg, load balancing and resource management) in a single framework by separating the control and forwarding functions. Briefly, Figure 1 depicts 3 layers of SDN. The infrastructure layer (data plane) is the layer at the bottom. Entities in this layer usually performs actions of forwarding, dropping, and altering packets but not limited to them. Control layer (control plane) is logically centralized and performs decision making on behalf of the entities in data plane. The application layer contains applications and services that use the services provided in control layer. The separation of control and forwarding functions of SDN allows the network control to be programmable, brings intelligence to network with centralized management, simplifies network design and management through open standards, and so on. Therefore, SDN allures the attention of SPNs.Although SDN has many benefits, there are several limitations as well. 2 First of all, SDN controller is the only entity that makes decision on behalf of all the underlying switches. As SDN controller makes per-flow basis online decisions, it ma...

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A Switch Migration-Based Decision-Making Scheme for Balancing Load in SDN

Cited by 127 publications

References 13 publications

Controller Placement Algorithms in Software Defined Network - A Review of Trends and Challenges

Controller Placement Algorithms in Software Defined Network - A Review of Trends and Challenges

HeS‐CoP: Heuristic switch‐controller placement scheme for distributed SDN controllers in data center networks

An SDN‐based scalable routing and resource management model for service provider networks

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