Large-Scale Dynamic Controller Placement

Huque, Tanvir Ishtaique ul; Si, Weisheng; Jourjon, Guillaume; Gramoli, Vincent

doi:10.1109/tnsm.2017.2651107

Cited by 102 publications

(38 citation statements)

References 14 publications

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“…Utilization of the controller is in terms of a number of switches and number of flows. Authors extended their work by proposing a modified LiDy scheme, ie, LiDy+ which gives a better result as compared to LiDy. LiDy+ runs in O ( n 2 ) where LiDy takes O ( n 2 l o g n ) time complexity.…”

Section: Controller Placement Problemmentioning

confidence: 93%

A survey and classification of controller placement problem in SDN

Singh

Srivastava

2018

Int J Network Mgmt

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Summary Software defined networking emerges as a promising paradigm shift that decouples the control plane from the data plane. It has the ability to centrally monitor and control the network through softwarization, ie, controller. Deploying a single controller is inefficient to handle large network traffic; thereby, making multiple controllers are a necessity of current software defined networking in wide area networks. Placing multiple controllers in an optimum way, ie, controller placement is a vibrant research problem. Controller placement problem (CPP) is of twofold: the minimum number of controllers to be placed in a network and locations of these controllers. Numerous researchers in the last 5 years (2012 to November 2017) have proposed solutions for the CPP, which is an NP‐hard problem. In general, solutions are based on objective functions and their optimum solutions considering various factors (such as propagation latency between switches and controllers, and intercontrollers) and constraints (such as the capacity of controllers and switches). To the best of our knowledge, this is the first attempt of state‐of‐the‐art review on CPP. This paper classifies the CPP, critically analyzes the existing solutions, and finds limitations and future scope existing, which will help potential researchers in this area to innovate new solutions for CPP lying on this information.

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Section: Controller Placement Problemmentioning

confidence: 93%

A survey and classification of controller placement problem in SDN

Singh

Srivastava

2018

Int J Network Mgmt

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“…Also, the centralized controller design might create further scalability issues, especially in IoT-like networks with a large number of hosts [368]. While that is the case, the distributed controller design that logically maintains a centralized view [369], becomes the only solution to meet high reliability, scalability requirements in SDN-based networks [370]. Providing a reliable and scalable softwarized network would also translate to service provisioning to the end-users with better quality.…”

Section: F Scalability Resilience and Optimization In Future Softwmentioning

confidence: 99%

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Barakabitze

Barman

Ahmad

et al. 2020

IEEE Commun. Surv. Tutorials

145

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The highly demanding Over-The-Top (OTT) multimedia applications pose increased challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of Experience (QoE) to their customers due to lack of flexibility, agility and scalability in traditional networks. The future networks are shifting towards the cloudification of the network resources via Software Defined Networks (SDN) and Network Function Virtualization (NFV). This will equip ISPs with cutting-edge technologies to provide service customization during service delivery and offer QoE which meets customers' needs via intelligent QoE control and management approaches. Towards this end, we provide in this paper a tutorial and a comprehensive survey of QoE management solutions in current and future networks. We start with a highlevel description of QoE management for multimedia services, which integrates QoE modelling, monitoring, and optimization. This followed by a discussion of HTTP Adaptive Streaming (HAS) solutions as the dominant technique for streaming videos over the best-effort Internet. We then summarize the key elements in SDN/NFV along with an overview of ongoing research projects, standardization activities and use cases related to SDN, NFV, and other emerging applications. We provide a survey of the state-of-the-art of QoE management techniques categorized into three different groups: a) QoE-aware/driven strategies using SDN and/or NFV; b) QoE-aware/driven approaches for adaptive streaming over emerging architectures such as multi-access edge computing, cloud/fog computing, and information-centric networking; and c) extended QoE management approaches in new domains such as immersive augmented and virtual reality, mulsemedia and video gaming applications. Based on the review, we present a list of identified future QoE management challenges regarding emerging multimedia applications, network management and orchestration, network slicing and collaborative service management in softwarized networks. Finally, we provide a discussion on future research directions with a focus on emerging research areas in QoE management, such as QoEoriented business models, QoE-based big data strategies, and scalability issues in QoE optimization.

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“…Dyn. Main Optimization Metrics(s) [14] Average control latency [11] Average flow setup time [31] Control plane operational cost [15] Control latency & load imbalance [32] Controller utilization and operational cost [16] Average control latency [17] Max. control latency upon controller failures [18] Avg.…”

Section: Refmentioning

confidence: 99%

Toward a Flexible Design of SDN Dynamic Control Plane: An Online Optimization Approach

Varasteh

Kellerer

2019

IEEE Trans. Netw. Serv. Manage.

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With a centralized control over the forwarding devices and the embedded flows, Software Defined Networking promises to increase the flexibility of communication networks. Meanwhile, a dynamic control plane would adapt itself in a timely manner to sustain flow setup performance in the face of traffic variations. Such adaptation depends on a careful decision of the controller placement, which is challenging because we need to consider two contradictory objectives, namely the cost of operating the control plane and the cost of its adaptation. In this work, we model the problem of operating the control plane as a multi-period offline optimization problem to minimize the total cost induced by the flow setup performance and the control plane adaptation. We leverage the lookahead control scheme and decompose the intractable offline problem into smaller instances, which are solved in an online fashion efficiently with an algorithm based on simulated annealing. We perform extensive simulations on real world topologies and show that our proposed algorithm can reduce the total cost by up to 20% compared with the reference algorithms. Further, we analyze the need of frequent control plane adaptation, and compare different control plane design choices according to a novel flexibility measure.

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Large-Scale Dynamic Controller Placement

Cited by 102 publications

References 14 publications

A survey and classification of controller placement problem in SDN

A survey and classification of controller placement problem in SDN

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Toward a Flexible Design of SDN Dynamic Control Plane: An Online Optimization Approach

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