Title :
Big Data Management in Digital Forensics
Author :
Man Qi ; Yang Liu ; Lin Lu ; Junyong Liu ; Maozhen Li
Author_Institution :
Dept. of Comput., Canterbury Christ Church Univ., Canterbury, UK
Abstract :
The past few years have witnessed an exponential growth in the volume of data on digital forensics leading to big data issues. Digital forensics data is complex and heterogeneous in that it can be structured, unstructured and semi-structured. Traditional relational database management systems (RDBMS) typically expose a query interface based on SQL (Structured Query Language). However, the RDBMS are mainly employed for management of structured data and hard to scale out to the ever growing size of data sets. This paper reviews the features of NoSQL (Not Only SQL) database technologies as an alternative to RDBMS for management of Big Data. It evaluates the performance of a RDBMS (i.e. MySQL) in comparison with two NoSQL database systems (i.e. Mongo DB and Riak).
Keywords :
Big Data; SQL; digital forensics; relational databases; Mongo DB database; MySQL database; NoSQL database technologies; Not Only SQL database technologies; RDBMS; Riak database; Structured Query Language; big data management; digital forensics; query interface; relational database management systems; Availability; Benchmark testing; Big data; Computer architecture; Databases; Peer-to-peer computing; Servers; Digital forensics; NoSQL database; big data;
Conference_Titel :
Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-7980-6
DOI :
10.1109/CSE.2014.74
