Carnegie Mellon PhD Thesis Credits Allium as a Core Research Resource
A Carnegie Mellon doctoral dissertation credits Allium as a critical data resource for its blockchain research.
A Carnegie Mellon University doctoral dissertation credits Allium as a critical resource for its research across the blockchain stack.
What the thesis covers
Algorithmic Techniques for Utility Improvement Across the Blockchain Stack develops methods for improving utility at several layers of blockchain systems, from consensus to applications.
Where Allium comes in
The empirical work drew on data collected from the Allium platform, and the acknowledgments name Allium among the resources that made the research possible.
Thank Chainlink Labs and Allium, who generously provided their resources that were critically needed for our research activities.
Read it
Dissertation record (ProQuest, access may be required): https://www.proquest.com/docview/3152012090
Tang, W. (2024). Algorithmic Techniques for Utility Improvement Across the Blockchain Stack [PhD thesis, Carnegie Mellon University]. ProQuest Dissertations & Theses.
