Blockmon: Flexible and high-performance big data stream analytics platform and its use cases
Maurizio Dusi, N d Hereuse, Felipe Huici, Andrea Di Pietro, Nicola Bonelli, Giuseppe Bianchi, Brian Trammell, Saverio Niccolini · Cineca Institutional Research Information System (Tor Vergata University) · 2012
This paper describes Blockmon, a novel, configurable, software-based Big Data platform for high-performance data stream analytics. Its design allows running applications for a wide range of use cases. When used as network data processing and monitoring platform, it copes with 10 Gb/s of continuous traffic, up to layer 7 (e.g., DPI), on a single commodity server. When used as a server-log processing platform, a fraud detection algorithm built on top of Blockmon can analyze up to 70,000 cps (~250 million BHCA, enough to cope with Japan’s entire phone traffic) on a single machine. Blockmon will be commercialized and applied to analyze operator networks and other applications such as web analytics or financial market analysis, among others.