AerialDB: A Federated Peer-to-Peer Spatio-temporal Edge Datastore for Drone Fleets
Shashwat Jaiswal, Suman Raj, Subhajit Sidhanta, Yogesh Simmhan

TL;DR
AerialDB is a decentralized, scalable spatio-temporal datastore designed for drone fleets, enabling efficient real-time data storage and querying in disaster scenarios with high mobility and large data volumes.
Contribution
It introduces a lightweight, decentralized data storage system optimized for multi-UAV and edge server environments, with content-based replica placement and locality-aware execution.
Findings
Scales efficiently with up to 400 drones and 80 edge servers.
Provides near real-time performance for complex spatial-temporal queries.
Outperforms state-of-the-art and cloud baselines significantly in insertion and query workloads.
Abstract
Recent years have seen an unprecedented growth in research that leverages the newest computing paradigm of Internet of Drones, comprising a fleet of connected Unmanned Aerial Vehicles (UAVs) used for a wide range of tasks such as monitoring and analytics in highly mobile and changing environments characteristic of disaster regions. Given that the typical data (i.e., videos and images) collected by the fleet of UAVs deployed in such scenarios can be considerably larger than what the onboard computers can process, the UAVs need to offload their data in real-time to the edge and the cloud for further processing. To that end, we present the design of AerialDB - a lightweight decentralized data storage and query system that can store and process time series data on a multi-UAV system comprising: A) a fleet of hundreds of UAVs fitted with onboard computers, and B) ground-based edge servers…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUAV Applications and Optimization · IoT and Edge/Fog Computing · Opportunistic and Delay-Tolerant Networks
