Towards trusted and efficient temporal relational databases

This research is to develop a blockchain based database based on a relational database management system (RDBMS). The database guarantees authenticity of the stored records using immutable and verifiable signatures. The database supports query evaluation over the entire timeline of the transaction log. To support efficient query evaluation, we utilize materialized snapshots at selected timestamps. We propose an optimal snapshot algorithm to compute the best timestamps so that the overall query load can be evaluated with minimal computation.

Name thesis:degree_name

Master of Science (MSc)

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Ontario Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• Beirami, Mohammadamin

Advisors dc:contributor.advisor

• Pu, Ken
• Zhu, Ying

• Temporal database
• Blockchain
• Trustworthy data
• Query optimization

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/10155/1012

OAI identifier oai:identifier

oai:ontariotechu.scholaris.ca:10155/1012