Knuckles: Bringing the database to the data

Peter Alvaro, Dmitriy V. Ryaboy, Divyakant Agrawal

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Click-stream data warehousing has emerged as a monumental information management and processing challenge for commercial enterprises. Traditional solutions based on commercial DBMS technology often suffer from poor scalability and large processing latencies. Although click-stream data tends to be collected in a distributed manner to support scaling the servers that host the websites, in general these partitioned click-stream logs are collated and pushed upstream to a centralised database storage repository, creating storage bottlenecks. In this paper, we propose a design of an ad-hoc retrieval system suitable for click-stream data warehouses, in which the data remains distributed and database queries are rewritten to be executed against the distributed data. The query rewrite does not involve any centralised control and is therefore highly scalable. The elimination of centralised control is achieved by supporting a restricted subset of SQL, which is sufficient for most click-stream data analysis. Evaluations conducted using both synthetic and real data establish the viability of this approach.

Original languageEnglish
Pages (from-to)214-225
Number of pages12
JournalInternational Journal of Computational Science and Engineering
Volume5
Issue number3-4
DOIs
Publication statusPublished - 1 Dec 2010

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Keywords

  • data partitioning.
  • distributed databases
  • parallel query processing
  • peer-to-peer computing

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Hardware and Architecture
  • Computational Mathematics
  • Computational Theory and Mathematics

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