[2509.09898] DBOS Network Sensing: A Web Services Approach to Collaborative Awareness

}10^5$, well above the required maximum, indicating that network sensing can be added to DBOS with negligible overhead. For collaborative awareness, many DBOS instances were connected to a single DBOS aggregator. The Python-GraphBLAS and OneSparse PostgreSQL implementations scaled linearly up to 64 and 32 nodes respectively. These results suggest that DBOS collaborative network awareness can be achieved with a negligible increase in computing resources."/>

}10^5$, well above the required maximum, indicating that network sensing can be added to DBOS with negligible overhead. For collaborative awareness, many DBOS instances were connected to a single DBOS aggregator. The Python-GraphBLAS and OneSparse PostgreSQL implementations scaled linearly up to 64 and 32 nodes respectively. These results suggest that DBOS collaborative network awareness can be achieved with a negligible increase in computing resources." />

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Computer Science > Networking and Internet Architecture

arXiv:2509.09898 (cs)

[Submitted on 11 Sep 2025]

Title:DBOS Network Sensing: A Web Services Approach to Collaborative Awareness

Authors:Sophia Lockton, Jeremy Kepner, Michael Stonebraker, Hayden Jananthan, LaToya Anderson, William Arcand, David Bestor, William Bergeron, Alex Bonn, Daniel Burrill, Chansup Byun, Timothy Davis, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Chasen Milner, Guillermo Morales, Julie Mullen, Michel Pelletier, Alex Poliakov, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Alex Pentland<br>View a PDF of the paper titled DBOS Network Sensing: A Web Services Approach to Collaborative Awareness, by Sophia Lockton and 28 other authors

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Abstract:DBOS (DataBase Operating System) is a novel capability that integrates web services, operating system functions, and database features to significantly reduce web-deployment effort while increasing resilience. Integration of high performance network sensing enables DBOS web services to collaboratively create a shared awareness of their network environments to enhance their collective resilience and security. Network sensing is added to DBOS using GraphBLAS hypersparse traffic matrices via two approaches: (1) Python-GraphBLAS and (2) OneSparse PostgreSQL. These capabilities are demonstrated using the workflow and analytics from the IEEE/MIT/Amazon Anonymized Network Sensing Graph Challenge. The system was parallelized using pPython and benchmarked using 64 compute nodes on the MIT SuperCloud. The web request rate sustained by a single DBOS instance was ${>}10^5$, well above the required maximum, indicating that network sensing can be added to DBOS with negligible overhead. For collaborative awareness, many DBOS instances were connected to a single DBOS aggregator. The Python-GraphBLAS and OneSparse PostgreSQL implementations scaled linearly up to 64 and 32 nodes respectively. These results suggest that DBOS collaborative network awareness can be achieved with a negligible increase in computing resources.

Comments:<br>8 pages, 10 figures, 37 references, accepted to IEEE HPEC 2025

Subjects:

Networking and Internet Architecture (cs.NI); Cryptography and Security (cs.CR); Databases (cs.DB); Distributed, Parallel, and Cluster Computing (cs.DC); Operating Systems (cs.OS)

Cite as:<br>arXiv:2509.09898 [cs.NI]

(or<br>arXiv:2509.09898v1 [cs.NI] for this version)

https://doi.org/10.48550/arXiv.2509.09898

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arXiv-issued DOI via DataCite

Related DOI:

https://doi.org/10.1109/HPEC67600.2025.11196670

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Submission history<br>From: Jeremy Kepner [view email]<br>[v1]<br>Thu, 11 Sep 2025 23:19:25 UTC (843 KB)

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View a PDF of the paper titled DBOS Network Sensing: A Web Services Approach to Collaborative Awareness, by Sophia Lockton and 28 other authors<br>View PDF<br>HTML (experimental)<br>TeX Source

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