ISODAC: a High Performance Solution for Indexing and Searching Heterogeneous Data
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.
indexing big data digital forensics gpu in-memory processing