JOURNAL ARTICLE

Operator-Defined Reconfigurable Network OS for Software-Defined Networks

Jaehyun NamHyeonseong JoYeonkeun KimPhillip PorrasVinod YegneswaranSeungwon Shin

Year: 2019 Journal:   IEEE/ACM Transactions on Networking Vol: 27 (3)Pages: 1206-1219   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Barista is a novel architecture that seeks to enable flexible and customizable instantiations of network operating systems (NOSs) for software-defined networks (SDNs). As the NOS is the strategic control center of an SDN, implementing logic for management of network switches as well as higher-level applications, its design is critical to the welfare of the network. In this paper, we focus on three aspects of composable controller design: component synthesis, dynamic event control, and predictive NOS assessment. First, the modular design of the Barista enables flexible composition of functionalities prevalent in contemporary SDN controllers. Second, its event handling mechanism enables dynamic customization of control flows in a NOS. Third, its predictive NOS assessment helps to discover the optimal composition for the requirements specified by operators. These capabilities allow Barista operators to optimally select functionalities and dynamically handle events for their operating requirements while maximizing the resource utilization of the given system. Our results demonstrate that Barista can synthesize NOSs with many functionalities found in commodity controllers with competitive performance profiles.

Keywords:
Computer science Modular design Component (thermodynamics) Distributed computing Controller (irrigation) Personalization Event (particle physics) Embedded system Operating system

Metrics

6
Cited By
0.97
FWCI (Field Weighted Citation Impact)
31
Refs
0.76
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Software-Defined Networks and 5G
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Optical Network Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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