Computer Science > Networking and Internet Architecture
arXiv:2310.15808 (cs)
[Submitted on 24 Oct 2023 (v1), last revised 16 Nov 2023 (this version, v2)]
Title:Dissecting the Performance of Satellite Network Operators
View a PDF of the paper titled Dissecting the Performance of Satellite Network Operators, by Aravindh Raman and 4 other authors
View PDFAbstract:The rapid growth of satellite network operators (SNOs) has revolutionized broadband communications, enabling global connectivity and bridging the digital divide. As these networks expand, it is important to evaluate their performance and efficiency. This paper presents the first comprehensive study of SNOs. We take an opportunistic approach and devise a methodology which allows to identify public network measurements performed via SNOs. We apply this methodology to both M-Lab and RIPE public datasets which allowed us to characterize low level performance and footprint of up to 18 SNOs operating in different orbits. Finally, we identify and recruit paid testers on three popular SNOs (Starlink, HughesNet, and ViaSat) to evaluate the performance of popular applications like web browsing and video streaming.
Comments: | Published at International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2023). Please cite the CoNEXT version |
Subjects: | Networking and Internet Architecture (cs.NI) |
Cite as: | arXiv:2310.15808 [cs.NI] |
(orarXiv:2310.15808v2 [cs.NI] for this version) | |
https://doi.org/10.48550/arXiv.2310.15808 arXiv-issued DOI via DataCite |
Submission history
From: Aravindh Raman [view email][v1] Tue, 24 Oct 2023 13:02:03 UTC (7,980 KB)
[v2] Thu, 16 Nov 2023 14:37:24 UTC (8,170 KB)
Full-text links:
Access Paper:
- View PDF
- TeX Source
- Other Formats
View a PDF of the paper titled Dissecting the Performance of Satellite Network Operators, by Aravindh Raman and 4 other authors
References & Citations
Bibliographic and Citation Tools
Bibliographic Explorer(What is the Explorer?)
Connected Papers(What is Connected Papers?)
Litmaps(What is Litmaps?)
scite Smart Citations(What are Smart Citations?)
Code, Data and Media Associated with this Article
alphaXiv(What is alphaXiv?)
CatalyzeX Code Finder for Papers(What is CatalyzeX?)
DagsHub(What is DagsHub?)
Gotit.pub(What is GotitPub?)
Hugging Face(What is Huggingface?)
Papers with Code(What is Papers with Code?)
ScienceCast(What is ScienceCast?)
Demos
Recommenders and Search Tools
Influence Flower(What are Influence Flowers?)
CORE Recommender(What is CORE?)
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community?Learn more about arXivLabs.