Change search
ReferencesLink to record
Permanent link

Direct link
Ordered Indexing Methods for Data Streaming Applications
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis
Abstract [en]

Many data streaming applications need ordered indexing techniques in order to maintain statistics required to answer historical and continuous queries. Conventional DBMS indexing techniques are not specifically designed for data streaming applications; this motivates an investigation on comparing the scalability of different ordered indexing techniques in data streaming applications. This master thesis compares two ordered indexing techniques - tries and B-trees - with each other in the context of data streaming applications.Indexing data streams also requires supporting high insertion and deletion rates. Two deletion strategies, bulk deletion and incremental deletion, were also compared in this project. The Linear Road Benchmark, SCSQ-LR and Amos II were comprehensively used to perform the scalability comparisons and draw conclusions.

Place, publisher, year, edition, pages
IT, 11 061
National Category
Engineering and Technology
URN: urn:nbn:se:uu:diva-159131OAI: diva2:442517
Educational program
Master Programme in Computer Science
Available from: 2011-09-21 Created: 2011-09-21 Last updated: 2011-09-21Bibliographically approved

Open Access in DiVA

fulltext(1531 kB)488 downloads
File information
File name FULLTEXT01.pdfFile size 1531 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Department of Information Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 488 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 313 hits
ReferencesLink to record
Permanent link

Direct link