{"ID":2872387,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.09898","arxiv_id":"2509.09898","title":"DBOS Network Sensing: A Web Services Approach to Collaborative Awareness","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 ${\u003e}10^5$, 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.","short_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 a...","url_abs":"https://arxiv.org/abs/2509.09898","url_pdf":"https://arxiv.org/pdf/2509.09898v1","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\"]","published":"2025-09-11T23:19:25Z","proceeding":"cs.NI","tasks":"[\"cs.NI\",\"cs.CR\",\"cs.DB\",\"cs.DC\",\"cs.OS\"]","methods":"[]","has_code":false}