Huang, Wenxuan (2018) Experimental Fault Tolerance Assessment Of Replicated State Machines. Bachelor's Thesis, Artificial Intelligence.
|
Text
bAI_2018_HuangW.pdf Download (673kB) | Preview |
|
Text
toestemming.pdf Restricted to Registered users only Download (94kB) |
Abstract
From primitive trading to modern transaction based on digital currency, the methodology to implement 'trust' and credit reinforcement has evolved to adapt the form of transaction to counter exploitation. The implementation of 'trust' is increasingly essential since exploitation advanced. This paper aims to formulate an assessment procedure to test the level of 'trust' in financial platforms based on Federated Byzantine Agreement systems. The experiment is designed to trial the assessment's feasibility with two major replicated state machines under the Federal Byzantine Agreement systems. Additionally, 'trust' could be materialized by a measurable property networks possess while the experiment is centered around 'trust' evaluation (Byzantine fault tolerance). The result of a simulated transaction test provide indications on the effectiveness of some feature one network exclusively possess or the impact created by alteration of configurations of the network. Stellar, based on the result, has strong tolerance compared to Ripple with several feature advancement over Ripple.
Item Type: | Thesis (Bachelor's Thesis) |
---|---|
Supervisor name: | Grossi, D. |
Degree programme: | Artificial Intelligence |
Thesis type: | Bachelor's Thesis |
Language: | English |
Date Deposited: | 21 Aug 2018 |
Last Modified: | 03 Sep 2018 12:48 |
URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/18340 |
Actions (login required)
View Item |