Paper Info
Title
Dotloom: Toward a Decentralized Data Platform for Massive Three-Dimensional Point Clouds
Abstract
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.
Year
DOI
Venue
2019
10.1109/ISM46123.2019.00059
2019 IEEE International Symposium on Multimedia (ISM)
Keywords
Field
DocType
Point Cloud, Decentralized Network, Point Cloud Package, DGGS, Dat Project, Dotloom Project
Pipeline transport,Terabyte,Computer science,Synchronizing,Upload,Search engine indexing,Knowledge management,Information technology management,Point cloud,Web service,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-7281-5607-1
0
0.34
References 
Authors
3
4
Name
Order
Citations
PageRank
Taehoon Kim100.34
Kyoung-Sook Kim22414.07
Jun Lee300.34
Akiyoshi Matono400.34