RT info:eu-repo/semantics/bookPart
T1 Analyzing network log files using big data techniques
A1 Colebrook Santamaría, Marcos Alejandro
A1 Plaza Martín, Victor
A1 Pérez González, Carlos Javier
A1 Roda García, José Luis
A1 González Dos Santos, Teno
A1 González González, José Carlos
A2 Ingeniería Informática y de Sistemas
A2 Investigación Operativa
TARO: Ingeniería del Software y Bases de Datos
AB The IT Department of the Universidad de La Laguna (ULL, Tenerife,Spain) provides service to 26 buildings with more than 1,000 network devices(wireless and wired), and access to more than 10,000 devices (computers, tablets,smartphones, etc.) which generate around 200MB/day of data that is stored mainlyin the DHCP log, the Apache HTTP log, and the WiFi log files. Within this context, the chapter addresses the design and development of an application that usesBig Data techniques to analyze those log files in order to track information on thedevice (date, time, MAC address, and georeferenced position), as well as thenumber and type of network accesses for each building. In a near future, this application will help the IT Department to analyze all these logs in real time.
YR 2017
FD 2017
LK http://riull.ull.es/xmlui/handle/915/26946
UL http://riull.ull.es/xmlui/handle/915/26946
LA en
DS Repositorio institucional de la Universidad de La Laguna
RD 13-may-2024