uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Scalable queries over log database collections
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science. (UDBL)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science. (UDBL)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science. (UDBL)
2015 (English)In: Data Science, Springer, 2015, 173-185 p.Conference paper, Published paper (Refereed)
Resource type
Text
Place, publisher, year, edition, pages
Springer, 2015. 173-185 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9147
National Category
Computer Science
Identifiers
URN: urn:nbn:se:uu:diva-274784DOI: 10.1007/978-3-319-20424-6_17ISI: 000364104600017ISBN: 978-3-319-20423-9 (print)OAI: oai:DiVA.org:uu-274784DiVA: diva2:897636
Conference
BICOD 2015, July 6–8, Edinburgh, UK
Available from: 2015-06-11 Created: 2016-01-26 Last updated: 2016-03-03Bibliographically approved
In thesis
1. Scalable Queries over Log Database Collections
Open this publication in new window or tab >>Scalable Queries over Log Database Collections
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In industrial settings, machines such as trucks, hydraulic pumps, etc. are widely distributed at different geographic locations where sensors on machines produce large volumes of data. The data produced is stored locally in autonomous databases called log databases. The collection of log databases is dynamically changing when new sites are dynamically added or removed from the federation.

In this application context, an efficient way to search and analyze passed behavior of products in use is desired. To enable scalable queries over collections of distributed and autonomous log databases we developed the FLOQ (Fused LOg database Query processor) system, which provides a global view of the working status of all machines on the sites through a meta-database integrating the dynamic log database collection. A particular challenge in this scenario is a scalable way to process numerical queries that identify anomalies by joining data from the meta-database with data selected from the collection of distributed and autonomous log databases. The Thesis describes the architecture of FLOQ. In particular different strategies to execute numerical queries over log database collections are investigated. FLOQ allows both the meta-database and the log databases to be stored in multiple formats using different kinds of data managers. FLOQ provides general and extensible mechanisms for efficient processing of queries over different kinds of distributed data sources.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2016. 51 p.
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1343
National Category
Computer Science
Research subject
Computer Science with specialization in Database Technology
Identifiers
urn:nbn:se:uu:diva-275044 (URN)978-91-554-9472-8 (ISBN)
Public defence
2016-03-30, 2446, Department of Information Technology, Polacksbacken (Lägerhyddsvägen 2), Uppsala, 13:00 (English)
Opponent
Supervisors
Available from: 2016-03-03 Created: 2016-01-28 Last updated: 2016-03-03Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Authority records BETA

Zhu, MinpengMahmood, KhalidRisch, Tore

Search in DiVA

By author/editor
Zhu, MinpengMahmood, KhalidRisch, Tore
By organisation
Computing Science
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 217 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf