In smart space domains, application logic is best expressed at a more semantically meaningful level (i.e., closer to concepts of interest of the application), though data arrives at raw sensor level. TIPPERS supports data to be viewed at both levels of abstraction and provides mechanisms to seamlessly translate concepts, data, queries across them. TIPPERS significantly reduces complexity of application development by relieving application logic from having to deal with sensor capabilities, placement, and availability. It allows extensibility and portability by allowing new sensors and sensor types to be added without modifying application code. In addition, TIPPERS supports efficient data management, as well as, built-in mechanisms to ensure users' privacy.
TippersDB has been transitioned to Naval Information Warfare Center (NIWC) where it was felicitated with the Naval Information Warfare Innovations Award in 2021. NIWC researchers used TIPPERS during the Navy's Trident Warrior 2019 and the 2020 exercises to create situational awareness applications aboard a ship. As part of the NSF funded project, TIPPERS is currently being used to build situational awareness during emergency evacuations in elderly living facilities through a project entitled CAREDEX and is being transitioned to other university campuses to support location-aware services.
Keywords: database support for smart spaces, virtualization, query processing.
Project Members: Ashwin Colaco, Nada Lahjouji, Pratyoy Das
Sample Publications
Sentaur: Sensor Observable Data Model for Smart Spaces
Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma, Roberto Yus, Nalini Venkatasubramanian
ACM CIKM 2022
Supporting Complex Query Time Enrichment For Analytics
Dhrubajyoti Ghosh, Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma
EDBT 2023
JENNER: Just-in-time Enrichment in Query Processing
Dhrubajyoti Ghosh Peeyush Gupta, Sharad Mehrotra, Roberto Yus, Yasser Altowim
Proceedings of the VLDB Endowment, 2022
A Case for Enrichment in Data Management Systems
Dhrubajyoti Ghosh, Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma
SIGMOD Records, 2022
A full list of publications for our group can be found here.
link to Software