Scalable infrastructure for digital currencies
Abstract/Contents
- Abstract
- Recent years have seen a significant increase in interest among policymakers and financial institutions in digital currencies and a new generation of financial infrastructure. This thesis investigates the design of computational infrastructure and economic mechanisms for these new systems. Specifically, this thesis develops infrastructure that, unlike prior state-of-the-art systems, performs with computational scalability that is nearly-linear on both best-case and worst-case workloads, and that does not significantly limit the range of operations that a user can express. Building this infrastructure requires instantiating and therefore demonstrating the practical feasibility of previously-unused types of economic mechanisms for exchanging digital currencies, with efficiency and fairness properties of independent interest. This thesis then studies the economic tradeoffs encoded in mechanisms for exchanging assets, the tradeoffs involved when combining different mechanisms together, and ways in which these mechanisms interact with the underlying computational infrastructure.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Ramseyer, Geoffrey Daniel |
|---|---|
| Degree supervisor | Mazieres, David |
| Thesis advisor | Mazieres, David |
| Thesis advisor | Boneh, Dan |
| Thesis advisor | Goel, Ashish |
| Degree committee member | Boneh, Dan |
| Degree committee member | Goel, Ashish |
| Associated with | Stanford University, School of Engineering |
| Associated with | Stanford University, Computer Science Department |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Geoffrey Ramseyer. |
|---|---|
| Note | Submitted to the Computer Science Department. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/wv519wt7540 |
Access conditions
- Copyright
- © 2023 by Geoffrey Daniel Ramseyer
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