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Dotloom: Toward a Decentralized Data Platform for Massive Three-Dimensional Point Clouds

Sharing data securely and reliably is challenging, mainly when dealing with big spatial data. Data portals, web services, and platforms often struggle when uploading and downloading such data, requiring significant investments in IT infrastructure and expensive high-bandwidth network connectivity to achieve adequate performance for many applications. Dotloom aims to change this and make the sharing of data easier, straightforward, secure, and efficient. Dotloom is a distributed data platform for synchronizing, replicating, indexing, and processing terabytes of point-cloud data with peer-to-peer technologies. The distributed nature allows instant exchange between data producers and data consumers. Processing pipelines have the power to stream data from multiple peers, and the generated output can be shared again instantly. Remote indexing can be implemented using partial data, reducing transfer costs. Building on the existing "DAT Project" infrastructure, Dotloom adds the functionality needed to manage, query, and visualize point-cloud data. These novel features of Dotloom have the potential to not only transform how we deal with point-clouds but to be influential across the wider big-data research and development community.