Guest Editors’ Introduction: Special Issue on Management of Softwarized Networks

Turck, Filip De; Chemouil, Prosper; Boutaba, Raouf; Yu, Minlan; Rothenberg, Christian Esteve; Shiomoto, Kohei

doi:10.1109/tnsm.2016.2598093

Cited by 6 publications

(1 citation statement)

References 25 publications

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“…SDN and NFV when deployed in concert can bring several benefits to virtualized data centers [14] since they are complementary technologies. SDN is an emergent paradigm shifting from traditional network to the next generation Internet to provide programmability and more flexibility for introducing innovation in service as well as in network design and management [11].…”

Section: Introductionmentioning

confidence: 99%

Scalable Load Balancing Scheme for Distributed Controllers in Software Defined Data Centers

Escheikh

Barkaoui

2019

2019 Sixth International Conference on Software Defined Systems (SDS)

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We propose in this paper a hysteresis multiplethreshold-based load balancing (LB) system intended to distributed Software-Defined Networking (SDN) control plane network architecture. The considered LB system is based on Markov chain model and is governed by a control policy using a set of scaling out/in thresholds to evenly distribute traffic between an overloaded SDN controller (client controller) and a lightly loaded neighboring controller (server controller). This is achieved to circumvent large discrepancy in resource utilization through dynamically adapting the global available capacity. The proposed LB scheme aims to achieve multi-objectives tradeoff relevant to scalability, high availability, agility, flexibility, resource utilization, blocking probability and power saving without incurring significant overhead. We highlight through numerical investigations the effectiveness of our proposed model. This is achieved by means of transient and steady state analysis, based on appropriate performance metrics such as average aggregated capacity, transition rate (between client and server) and blocking probability. We show also how the proposed LB scheme performs the right scaling and resource provisioning decisions with respect to specific requirements.

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Section: Introductionmentioning

confidence: 99%

Scalable Load Balancing Scheme for Distributed Controllers in Software Defined Data Centers

Escheikh

Barkaoui

2019

2019 Sixth International Conference on Software Defined Systems (SDS)

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Management and information disclosure of electric power environmental and social governance issues in the age of artificial intelligence

Bai

Zhang²

2022

Computers and Electrical Engineering

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A survey on the architecture, application, and security of software defined networking: Challenges and open issues

et al. 2020

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Software Defined Networking (SDN) is a new technology that makes computer networks farther programmable. SDN is currently attracting significant consideration from both academia and industry. SDN is simplifying organisations to implement applications and assist flexible delivery, offering the capability of scaling network resources in lockstep with application and data. This technology allows the user to manage the network easily by permitting the user to control the applications and operating system. SDN not only introduces new ways of interaction within network devices, but it also gives more flexibility for the existing and future networking designs and operations. SDN is an innovative approach to design, implement, and manage networks that separate the network control (control plane) and the forwarding process (data plane) for a better user experience. The main differentiation between SDN and Traditional Networking is that SDN removes the decision-making part from the routers and it provides, logically, a centralised Control-Plane that creates a network view for the control and management applications. Through the establishment of SDN, many new network capabilities and services have been enabled, such as Software Engineering, Traffic Engineering, Network Virtualisation and Automation, and Orchestration for Cloud Applications. This paper surveys the state-of-the-art contribution such as a comparison between SDN and traditional networking. Also, comparison with other survey works on SDN, new information about controller, details about OpenFlow architecture, configuration, comprehensive contribution about SDN security threat and countermeasures, SDN applications, benefit of SDN, and Emulation & Tested for SDN. In addition, some existing and representative SDN tools from both industry and academia are explained. Moreover, future direction of SDN security solutions is discussed in detail.

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Guest Editors’ Introduction: Special Issue on Management of Softwarized Networks

Cited by 6 publications

References 25 publications

Scalable Load Balancing Scheme for Distributed Controllers in Software Defined Data Centers

Scalable Load Balancing Scheme for Distributed Controllers in Software Defined Data Centers

Management and information disclosure of electric power environmental and social governance issues in the age of artificial intelligence

A survey on the architecture, application, and security of software defined networking: Challenges and open issues

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