Latest revision as of 20:27, 28 January 2021

Abstract

We will present techniques developed in collaboration with the OSiRIS project (NSF Award #1541335, UM, IU, MSU and WSU) and SLATE (NSF Award #1724821) for orchestrating software defined network slices with a goal of building reproducible and reliable computer networks for large data collaborations. With this project we have explored methods of utilizing passive and active measurements to build a carefully curated model of the network. We will show that by then using such a model, we can dynamically and programmatically alter network and host configuration to effectively respond to changing network conditions. As part of our presentation, we will show how SLATE, operating over a slice of the Internet2 network, provides a container focused platform for running a Network Management Abstraction Layer (NMAL), allowing us to control applications in a reliable and reproducible way. This presentation will demonstrate how NMAL tracks live network topological and performance statistics on an Internet2 slice with SLATE-enabled hosts to enact traffic engineering and container placement decisions in order to optimize network behavior based on user defined profiles. We will conclude by discussing the future of this work and our plans for using it to support science activities in production.

Document type: Article

Full document

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.6084/m9.figshare.12743336 under the license https://creativecommons.org/licenses/by/4.0/

• http://dx.doi.org/10.6084/m9.figshare.12743336.v1 under the license https://creativecommons.org/licenses/by/4.0/legalcode

• https://figshare.com/articles/Applying_OSiRIS_NMAL_to_Network_Slices_on_SLATE/11705691 under the license https://creativecommons.org/licenses/by/4.0/legalcode

• https://figshare.com/articles/preprint/Applying_OSiRIS_NMAL_to_Network_Slices_on_SLATE/12743336

• https://zenodo.org/record/3599627

• https://www.epj-conferences.org/10.1051/epjconf/202024507055/pdf,

http://dx.doi.org/10.1051/epjconf/202024507055 under the license http://creativecommons.org/licenses/by/4.0/legalcode

• https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_07055.pdf,

https://doaj.org/toc/2100-014X under the license https://creativecommons.org/licenses/by/4.0/

• https://zenodo.org/record/3599627,

http://dx.doi.org/10.5281/zenodo.3599626

• https://zenodo.org/record/3599627,

http://dx.doi.org/10.5281/zenodo.3599627 under the license http://creativecommons.org/licenses/by/4.0/legalcode

under the license http://creativecommons.org/licenses/by/4.0/legalcode

DOIS: 10.5281/zenodo.3599627 10.5281/zenodo.3599626 10.6084/m9.figshare.12743336.v1 10.1051/epjconf/202024507055 10.6084/m9.figshare.12743336