Proof of optimality for a decentralised EO data processing architecture

Cowlishaw, Robert and Riccardi, Annalisa and Arulselvan, Ashwin; Soille, P. and Lumnitz, S. and Albani, S., eds. (2023) Proof of optimality for a decentralised EO data processing architecture. In: Proceedings of the 2023 conference on Big Data from Space (BiDS’23). Publications Office of the European Union, AUT, pp. 389-392. ISBN 9789268086964 (https://doi.org/10.2760/46796)

[thumbnail of Cowlishaw-etal-BiDS-2023-Proof-of-optimality-for-a-decentralised-EO-data-processing-architecture]
Preview
 Text. Filename: Cowlishaw-etal-BiDS-2023-Proof-of-optimality-for-a-decentralised-EO-data-processing-architecture.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (900kB)| Preview

Abstract

Earth Observation (EO) data is large and often processed in a very centralised manner. Through the decentralisation and distribution of data processing, a more neutral and automated system can be created, while incentivising a more diverse set of data sources. This can help lower the initial barrier for new data providers and help with decreasing the time it takes for data to be created for systems such as Satellite-based Emergency Mapping. Building such architecture on a decentralised network comes with difficulties, such as merging centralised data sources together, building trust or reputation on a trustless system, and building processes and methods that require low enough computational cost to be executable on distributed networks. This paper discusses how to offload and on-load data onto a distributed network to overcome these computational challenges.

ORCID iDs

Cowlishaw, Robert, Riccardi, Annalisa ORCID logoORCID: https://orcid.org/0000-0001-5305-9450 and Arulselvan, Ashwin ORCID logoORCID: https://orcid.org/0000-0001-9772-5523; Soille, P., Lumnitz, S. and Albani, S.
CORE (COnnecting REpositories)