ElastiCon

Dixit, Advait; Hao, Fang; Mukherjee, Sarit; Lakshman, T. V.; Kompella, Ramana Rao

doi:10.1145/2658260.2658261

Cited by 164 publications

(8 citation statements)

References 10 publications

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“…On the other hand, increasing the time interval will cause the network to operate suboptimally for a longer duration. In the literature, the time slot is assumed to be either in seconds or minutes [37, 144].Furthermore, we observe that the network traffic profile has a long‐term and short‐term behavior. For instance, in a data center kind of environment, the aggregate traffic is high during the day but decreases at night [144].…”

Section: Discussion and Future Research Directionmentioning

confidence: 99%

Section: Discussion and Future Research Directionmentioning

confidence: 99%

“…Dixit et al [36, 37] propose to grow or shrink the controller pool if the controller load exceeds the upper threshold or fall behind the lower threshold, respectively. They address the issue of flow migration by exploiting the equal controller mode (specified in OpenFlow v1.2 ), which allows transitioning a controller from master to slave mode.…”

Section: Cpp Solution Methodsmentioning

confidence: 99%

“…Switch migration cost ( SMC ) : Switch migration is necessitated to balance the traffic load among the controllers, recover from controller failure, and reduce flow setup time [24, 37]. The overhead of switch migration is computed using the metric of switch migration cost ( SMC ) [54,140].…”

Section: Controller Placement Problemmentioning

confidence: 99%

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Controller placement problem in software‐defined networking: A survey

Kumari

Sairam

2021

Networks

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A distinctive feature of software‐defined networking (SDN) is a logically centralized control plane realized using multiple physical controllers. The placement of the controllers, the so‐called controller placement problem (CPP), is a crucial design issue. It influences network performance parameters such as latency, flow setup time, network availability, load balance of the controllers, and energy consumption. In this article, we illustrate the formulation of these CPP objectives. We categorize the CPP design solutions as either static or adaptive. In adaptive CPP, the solutions proposed dynamically adapt to the number of controllers required and the switch to controller mapping to varying network traffic. We further differentiate adaptive CPP as wired or wireless. The optimization strategies adopted by the papers are analyzed and grouped into five categories: exact, heuristic, meta‐heuristic, clustering, and game theory. The merits and demerits of each approach are discussed. In conclusion, we outline the research challenges worth investigating.

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Section: Discussion and Future Research Directionmentioning

confidence: 99%

Section: Discussion and Future Research Directionmentioning

confidence: 99%

Section: Cpp Solution Methodsmentioning

confidence: 99%

Section: Controller Placement Problemmentioning

confidence: 99%

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Controller placement problem in software‐defined networking: A survey

Kumari

Sairam

2021

Networks

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“…As the NBIs in SDN are nonstandardized, they are very diverse and are more challenging to secure. One approach is to use APIs such as general APIs (Java, C, or Python etc) RESTful API RESTCONF, SDMN API, PANE API, NVP NBAPI, etc. Another approach is to use programming languages such as FML, Frenetic, Nettle, Procera, Pyretic, NetKAT, NetCore, and other query‐based languages which specify the security constraints to the app‐to‐control access.…”

Section: First Dimension: Essential Components Of the Sdn Controllermentioning

confidence: 99%

A comprehensive 3‐dimensional security analysis of a controller in software‐defined networking

Tseng

Naït‐Abdesselam

Khokhar

2018

Security and Privacy

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Software-defined networking (SDN) has recently emerged as a novel networking paradigm that enables network administrators to manage network services through high-level abstraction of networking functions. This is achieved by mainly decoupling the control plane from the data plane. The control plane, namely the SDN controller, makes dynamic decisions on where traffic is sent in the underlying systems that forward data to the selected destinations. The SDN controller, seen as a networking operating system, acts, therefore, as the brain in SDN. Consequently, its importance makes it a privileged new target for future attackers. In order to have a comprehensive security assessment of the SDN controller, we conducted a 3-dimensional analysis to study the security of OpenFlow-based SDN controllers. This study includes: (1) the essential components of a controller, (2) the characteristics provided by a controller, and (3) the STRIDE model. At the end, we also summarized 9 principles that are necessary to secure an SDN controller from the reported attacks and analyzed the security of 5 active open-source controllers following those principles. KEYWORDSOpenFlow, SDN, SDN controller, security INTRODUCTIONSoftware-defined networking (SDN) is as susceptible to attacks as traditionally managed networks. A long and continuous series of attacks have revealed many areas of network vulnerability. The SDN controller is a key to any software-defined network and offers attackers a target not present in earlier network technologies. Clearly, any successful attack on the controller will halt or disrupt network operations. 1 To address this problem, some researchers have proposed to harden the SDN control plane. For example, FortNOX 2 hardens the kernel of the SDN controller (NOX) to avoid malicious rule injection from the application plane. Extending FortNOX, SE-Floodlight 3 enhances the security of the overall control plane through authentication, role authorization, and network application operation auditing. Rosemary 4 isolates the net-app from the control plane via interprocess communication (IPC), which enables the SDN controller to be immune from resource exhaustion attacks. Moreover, the distributed controllers have also been proposed for providing a more scalable control plane, such as ONOS, 5 Onix, 6 Kandoo, 7 and the 3-level controller architecture for IoT (Internet of things). 8 Moreover, a distributed architecture brings new challenges for data consistency between controllers. 9 However, the SDN controller remains vulnerable to many threats, such as data inconsistency, OpenFlow messages flooding, topology spoofing, malicious scanning, etc. Hence, the motivation of this work is to provide a clear view in order to evaluate the security of the control plane. A number of surveys on SDN/OpenFlow security also precede this analysis such as References 10-16. Reference 13 adopts STRIDE to evaluate the security of SDN. Conversely, Reference 17 uses STRIDE to evaluate the security of the Security Privacy. 2018;1:e21.wileyonlinelibrar...

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Dynamic switch migration with noncooperative game towards control plane scalability in SDN

Wang

Obaidat

et al. 2019

Int J Communication

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Summary As software‐defined networking (SDN) is a logically centralized technology, the control plane scalability in SDN is increasingly important with the network scale increasing. Load balancing and maximizing resource utilization are very critical to the control plane in SDN, while switch migration is an effective approach to achieve these two performance metrics. However, switch migration is NP‐hard problem because it belongs to the problem of combinatorial optimization. To avoid the NP‐hard problem, we propose a switch migration scheme by adopting noncooperative game to improve the control plane scalability in SDN. First, we design a novel load balancing monitoring scheme to detect the load imbalance between controllers and trigger migrating switches. Then, we use noncooperative game among controllers to decide switch migration to get the maximizing overall profits. Last, we prove that our proposed approach can get Pareto optimality. Extensive simulations prove that our method is able to achieve a more scalable control plane with load balancing and maximizing resource utilization.

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ElastiCon

Cited by 164 publications

References 10 publications

Controller placement problem in software‐defined networking: A survey

Controller placement problem in software‐defined networking: A survey

A comprehensive 3‐dimensional security analysis of a controller in software‐defined networking

Dynamic switch migration with noncooperative game towards control plane scalability in SDN

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