Title
ISODAC: a High Performance Solution for Indexing and Searching Heterogeneous Data
Abstract
•Parallel architecture for indexing large sets of heterogeneous data.•Efficient and reliable parallel indexing process using techniques borrowed from High Performance Computing.•In-memory data processing to minimize I/O and enhance performance.•Proof-of-concept tool for digital investigation purposes to quickly and easily analyze large sets of forensic disk images.
Year
DOI
Venue
2016
10.1016/j.jss.2015.11.043
Journal of Systems and Software
Keywords
Field
DocType
Digital forensics,Indexing,In-Memory processing
Data mining,Spark (mathematics),Digital forensics,Computer science,In-Memory Processing,Search engine indexing,User interface
Journal
Volume
ISSN
Citations 
118
0164-1212
3
PageRank 
References 
Authors
0.41
35
5
Name
Order
Citations
PageRank
giuseppe totaro130.41
Massimo Bernaschi250464.27
Giancarlo Carbone3282.96
m cianfriglia430.41
a di marco530.41