Towards trusted and efficient temporal relational databases

dc.contributor.advisor	Pu, Ken
dc.contributor.advisor	Zhu, Ying
dc.contributor.author	Beirami, Mohammadamin
dc.date.accessioned	2019-01-14T16:13:15Z
dc.date.accessioned	2022-03-29T17:26:00Z
dc.date.available	2019-01-14T16:13:15Z
dc.date.available	2022-03-29T17:26:00Z
dc.date.issued	2018-12-01
dc.identifier.uri	https://hdl.handle.net/10155/1012
dc.description.abstract	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.	en
dc.description.sponsorship	University of Ontario Institute of Technology	en
dc.language.iso	en	en
dc.subject	Temporal database	en
dc.subject	Blockchain	en
dc.subject	Trustworthy data	en
dc.subject	Query optimization	en
dc.title	Towards trusted and efficient temporal relational databases	en
dc.type	Thesis	en
dc.degree.level	Master of Science (MSc)	en
dc.degree.discipline	Computer Science	en