Open AccessSystem Failure Recognition and Identification by Analyzing Syslog and SNS Data: Applying Big Data Analysis to Network Operations
Author(s) -
D Vimala,
P Nandhini,
R Elankavi
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i3109.0789s319
Subject(s) - disappointment , identification (biology) , computer science , big data , data science , data mining , psychology , social psychology , botany , biology
We present two major information examination strategies for diagnosing the reasons for system disappointments and for identifying system disappointments early. Syslogs contain log information created by the framework. We dissected syslogs what's more, prevailing with regards to distinguishing the reason for a system disappointment via consequently learning more than 100 million logs without requiring any past learning of log information. Investigation of the information of an interpersonal interaction benefit (in particular, Twitter) empowered us to recognize conceivable system disappointments by extricating system disappointment related tweets, which represent under 1% of all tweets, continuously and with high exactness