Title
Collection and exploration of large data monitoring sets using bitmap databases
Abstract
Collecting and exploring monitoring data is becoming increasingly challenging as networks become larger and faster. Solutions based on both SQL-databases and specialized binary formats do not scale well as the amount of monitoring information increases. This paper presents a novel approach to the problem by using a bitmap database that allowed the authors to implement an efficient solution for both data collection and retrieval. The validation process on production networks has demonstrated the advantage of the proposed solution over traditional approaches. This makes it suitable for efficiently handling and interactively exploring large data monitoring sets.
Year
DOI
Venue
2010
10.1007/978-3-642-12365-8_6
TMA
Keywords
Field
DocType
production network,data collection,novel approach,information increase,bitmap database,efficient solution,large data,bitmap databases,monitoring data,proposed solution,specialized binary format,netflow
Data collection,Data mining,Information retrieval,NetFlow,Computer science,Data monitoring,Bitmap,Database,Binary number
Conference
Volume
ISSN
ISBN
6003
0302-9743
3-642-12364-3
Citations 
PageRank 
References 
5
0.52
19
Authors
3
Name
Order
Citations
PageRank
Luca Deri129232.98
Valeria Lorenzetti250.52
Steve Mortimer350.52