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Proceedings ArticleDOI

An Ensembled Scheme for QoS-Aware Traffic Flow Management in Software Defined Networks

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TLDR
An ensembled scheme for QoS-aware traffic flow management in SDN is designed and shows that the proposed scheme behaves effectively with respect to different QoS parameters.
Abstract
In recent times, smart communities such as-smart grid, smart healthcare, and smart manufacturing units consists of large number of connected devices equipped with advanced processing and communication capabilities. The focus of these smart communities have shifted towards the use of intelligent processing and control for providing better quality of service (QoS) to the end user domain. To support this aspect, software defined networking (SDN) is being widely deployed in different domains such as-data center networks, fog/edge computing, smart grid, and vehicular networks. The variable requirements of different applications in smart communities make it necessary to deploy flexible and scalable SDN. The dynamic flow management capability of SDN has lots of potential that needs to be effectively explored in order to provide QoS guarantee for traffic generated from different smart applications. In this direction, in this paper, an ensembled scheme for QoS-aware traffic flow management in SDN is designed. The proposed scheme works in three phases: 1) a linear ordering scheme for dependency removal of the incoming packets is designed, 2) an application-specific traffic classification scheme is designed, and 3) a queue management scheme is designed for efficient scheduling of traffic flow. The proposed scheme is evaluated over an experimental setup. The results obtained shows that the proposed scheme behaves effectively with respect to different QoS parameters.

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Citations
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A Survey on Smart Grid CommunicationInfrastructures: Motivations, Requirements andChallenges

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Journal ArticleDOI

An ensemble machine learning approach through effective feature extraction to classify fake news

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Deep-Learning-Based Blockchain Framework for Secure Software-Defined Industrial Networks

TL;DR: A deep-learning-based blockchain framework is designed for providing secure software-defined industrial network wherein all the switch are registered, verified (using zero-knowledge proof), and validated in the blockchain using a voting-based consensus mechanism.
Journal ArticleDOI

A Survey on Autonomic Provisioning and Management of QoS in SDN Networks

TL;DR: This paper includes in-depth classification, taxonomy, and comparative analysis for the autonomic-based QoS provisioning in accordance with the famous influential and widely adopted the monitor-analyze-plan-execute-knowledge (MAPE-K) IBM architectural model for autonomic computing.
Journal ArticleDOI

Intent-Based Network for Data Dissemination in Software-Defined Vehicular Edge Computing

TL;DR: An Intent-based network control framework has been designed over the SDN architecture for data dissemination in the vehicular edge computing ecosystem and the results supports the claims in terms of the quality of service requirements.
References
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A Survey on Smart Grid CommunicationInfrastructures: Motivations, Requirements andChallenges

TL;DR: From the experience of several industrial trials on smart grid with communication infrastructures, it is expected that the traditional carbon fuel based power plants can cooperate with emerging distributed renewable energy such as wind, solar, etc, to reduce the carbon fuel consumption and consequent green house gas such as carbon dioxide emission.
Journal ArticleDOI

A Survey on Smart Grid Communication Infrastructures: Motivations, Requirements and Challenges

TL;DR: In this article, the authors present the background and motivation of communication infrastructures in smart grid systems and summarize major requirements that smart grid communications must meet, and explore the challenges for a communication infrastructure as the part of a complex smart grid system.
Journal ArticleDOI

Software-Defined Industrial Internet of Things in the Context of Industry 4.0

TL;DR: This paper analyzes the IIoT architecture, including physical layer, IWNs, industrial cloud, and smart terminals, and describes the information interaction among different devices, and proposes a software-defined IIeT architecture to manage physical devices and provide an interface for information exchange.
Journal ArticleDOI

Industrial Internet of Things Driven by SDN Platform for Smart Grid Resiliency

TL;DR: The experimental results prove the innovative SDN-based IIoT solutions can improve grid reliability for enhancing smart grid resilience and achieve multifunctionality control and optimization challenge by providing operators with real-time data monitoring to manage demand, resources, and increasing system reliability.
Proceedings ArticleDOI

UbiFlow: Mobility management in urban-scale software defined IoT

TL;DR: Simulation and realistic testbed experiments confirm that UbiFlow can successfully achieve scalable mobility management and robust flow scheduling in IoT multinetworks.
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