A Deployment-First Methodology to Mechanism Design and Refinement in Distributed Systems

Conference Paper (2023)
Authors

Martijn de Vos (TU Delft - Data-Intensive Systems)

Georgy Ishmaev (TU Delft - Data-Intensive Systems)

JA Pouwelse (TU Delft - Data-Intensive Systems)

Stefanie Roos (TU Delft - Data-Intensive Systems)

Research Group
Data-Intensive Systems
Copyright
© 2023 M.A. de Vos, G. Ishmaev, J.A. Pouwelse, S. Roos
More Info
expand_more
Publication Year
2023
Language
English
Copyright
© 2023 M.A. de Vos, G. Ishmaev, J.A. Pouwelse, S. Roos
Research Group
Data-Intensive Systems
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
472-477
ISBN (print)
978-1-6654-5382-0
ISBN (electronic)
978-1-6654-5381-3
DOI:
https://doi.org/10.1109/PerComWorkshops56833.2023.10150355
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Catalyzed by the popularity of blockchain technology, there has recently been a renewed interest in the design, implementation and evaluation of decentralized systems. Most of these systems are intended to be deployed at scale and in heterogeneous environments with real users and unpredictable workloads. Nevertheless, most research in this field evaluates such systems in controlled environments that poorly reflect the complex conditions of real-world environments. In this work, we argue that deployment is crucial to understanding decentralized mechanisms in a real-world environment and an enabler to building more robust and sustainable systems. We highlight the merits of deployment by comparing this approach with other experimental setups and show how our lab applied a deployment-first methodology. We then outline how we use Tribler, our peer-to-peer file-sharing application, to deploy and monitor decentralized mechanisms at scale. We illustrate the application of our methodology by describing a deployment trial in experimental tokenomics. Finally, we summarize four lessons learned from multiple deployment trials where we applied our methodology.

Files

A_Deployment_First_Methodology... (pdf)
(pdf | 0.637 Mb)
- Embargo expired in 21-12-2023
License info not available