MS4PAN: Measurement System for Path-Aware Networks

Path-Aware Networks (PANs) allow applications to choose the network paths their data traverses. However, they require application developers to translate their performance requirements (e.g., in terms of latency, throughput and data loss) to a set of paths available through a PAN, which can be a cumbersome process especially when dealing with multiple PANs at the same time. In this paper, we propose MS4PAN, a tool for app developers to select the best paths based on app-specific requirements in Path-Aware Networks. We investigate several network requirements for different use cases as well as the difficulties for app developers to interact with different network architectures. We provide a tool that automatically finds the best paths that fulfill a set of requirements. We evaluate MS4PAN in SCIONLab, an experimental testbed and implementation of a SCION network. Our software helps developers by providing a simple abstraction while dealing with different network archi-tectures.

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Published
2024-11-27
DOI
https://doi.org/10.1109/cloudnet62863.2024.10815880
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

MS4PAN: Measurement System for Path-Aware Networks

Paola Grosso, Cristian Hesselman, Leonardo Boldrini, Antonio Battipaglia
Energy Efficient Wireless Sensor Networks
article

MS4PAN: Measurement System for Path-Aware Networks

Paola Grosso, Cristian Hesselman, Leonardo Boldrini, Antonio Battipaglia
article en

Abstract

Path-Aware Networks (PANs) allow applications to choose the network paths their data traverses. However, they require application developers to translate their performance requirements (e.g., in terms of latency, throughput and data loss) to a set of paths available through a PAN, which can be a cumbersome process especially when dealing with multiple PANs at the same time. In this paper, we propose MS4PAN, a tool for app developers to select the best paths based on app-specific requirements in Path-Aware Networks. We investigate several network requirements for different use cases as well as the difficulties for app developers to interact with different network architectures. We provide a tool that automatically finds the best paths that fulfill a set of requirements. We evaluate MS4PAN in SCIONLab, an experimental testbed and implementation of a SCION network. Our software helps developers by providing a simple abstraction while dealing with different network archi-tectures.

SIDN Fonds (NL), University of Amsterdam (NL), University of Twente (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 72%
Energy Efficient Wireless Sensor Networks
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MS4PAN: Measurement System for Path-Aware Networks — Paola Grosso, Cristian Hesselman, et al. · (2024) | TGRS Research Map | TGRS