SDNMA: A Software-Defined, Dynamic Network Manipulation Application to Enhance BGP Functionality

Gandotra, Rahil; Perigo, Levi

doi:10.1109/hpcc/smartcity/dss.2018.00167

Cited by 14 publications

(6 citation statements)

References 20 publications

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“…Staessens et al [23] proposed leveraging the capabilities offered by software-defined networks (SDN) to perform link rate adaptation. Since an SDN controller has a global view of the network, collecting and analyzing traffic patterns is less complicated, and this allows for easier deployment of the developed link rate policies [62]. [96] combined the strategies of sleeping of network elements and link rate adaptation into one scheme for SDN-based data centers.…”

Section: Nedevschi Et Al Studied Rate Adaptation Inmentioning

confidence: 99%

A Comprehensive Survey of Energy-Efficiency Approaches in Wired Networks

Gandotra¹,

Perigo²

2021

Machine Learning Techniques and Data Science

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Energy consumption by the network infrastructure is growing expeditiously with the rise of the Internet. Critical research efforts have been pursued by academia, industry and governments to make networks, such as the Internet, operate more energy efficiently and reduce their power consumption. This work presents an in-depth survey of the approaches to reduce energy consumption in wired networks by first categorizing existing research into broad categories and then presenting the specific techniques, research challenges, and important conclusions. At abroad level, we present five categories of approaches for energy efficiency in wired networks – (i) sleeping of network elements, (ii) link rate adaptation, (iii) proxying, (iv) store and forward, and (v) network traffic aggregation. Additionally, this survey reviews work in energy modeling and measurement, energy-related standards and metrics, and enumerates discussion points for future work and motivations.

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Section: Nedevschi Et Al Studied Rate Adaptation Inmentioning

confidence: 99%

A Comprehensive Survey of Energy-Efficiency Approaches in Wired Networks

Gandotra¹,

Perigo²

2021

Machine Learning Techniques and Data Science

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“…Furthermore, there are previous efforts aimed at providing a solution for a network topology that includes both traditional and software-defined networking (SDN) topologies [13,15]. Additionally, network engineering practices face a major challenge of network optimization in this hybrid network scenario [8,16].…”

Section: Related Workmentioning

confidence: 99%

“…Numerous Network Management System (NMS) tools have been developed with the goal of making data reveal the status of large networks. However, there is little automated action on the analytics results, which often include metrics on observable trends in network operations [5,16].…”

Section: Introductionmentioning

confidence: 99%

Trend-Based Networking Driven by Big Data Telemetry for Sdn and Traditional Networks

Jain¹,

Gupta²,

Gupta³

et al. 2019

IJNGN

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Organizations face a challenge of accurately analyzing network data and providing automated action based on the observed trend. This trend-based analytics is beneficial to minimize the downtime and improve the performance of the network services, but organizations use different network management tools to understand and visualize the network traffic with limited abilities to dynamically optimize the network. This research focuses on the development of an intelligent system that leverages big data telemetry analysis in Platform for Network Data Analytics (PNDA) to enable comprehensive trendbased networking decisions. The results include a graphical user interface (GUI) done via a web application for effortless management of all subsystems, and the system and application developed in this research demonstrate the true potential for a scalable system capable of effectively benchmarking the network to set the expected behavior for comparison and trend analysis. Moreover, this research provides a proof of concept of how trend analysis results are actioned in both a traditional network and a software-defined network (SDN) to achieve dynamic, automated load balancing.

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“…Most of the components used in the VIVoNet system are available for no cost which reduces the cost of the overall solution and increases its market value. Additionally, the use of open-source solutions enables administrators to customize according to their requirements without being dependent on vendors [32].…”

Section: Capital Efficient and Flexiblementioning

confidence: 99%

VIVoNet: Visually-Represented, Intent-Based, Voice-Assisted Networking

B¹,

Asthana²,

Kaluskar³

et al. 2019

IJCNC

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Networks have become considerably large, complex and dynamic. The configuration, operation, monitoring, and troubleshooting of networks is a cumbersome and time-consuming task for the network administrators as they must deal with the physical layer, underlying protocols, addressing systems, control rules, and many other low-level details. This research paper proposes an Intent-based networking system (IBNS) coupled with voice-assistance that can abstract the underlying network infrastructure and allow administrators to alter its behavior by expressing intents via voice commands. The system also displays the real-time network topology along with the highlighted intents on an interactive web application that can be used for network diagnostics. Compared to traditional networks, the concepts of software-defined networking (SDN) make it easier to integrate a voice assistant that allows configuring the network based on intents.

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SDNMA: A Software-Defined, Dynamic Network Manipulation Application to Enhance BGP Functionality

Cited by 14 publications

References 20 publications

A Comprehensive Survey of Energy-Efficiency Approaches in Wired Networks

A Comprehensive Survey of Energy-Efficiency Approaches in Wired Networks

Trend-Based Networking Driven by Big Data Telemetry for Sdn and Traditional Networks

VIVoNet: Visually-Represented, Intent-Based, Voice-Assisted Networking

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