TY - JOUR
T1 - Loginson
T2 - a transform and load system for very large-scale log analysis in large IT infrastructures
AU - Vega, Carlos
AU - Roquero, Paula
AU - Leira, Rafael
AU - Gonzalez, Ivan
AU - Aracil, Javier
N1 - Publisher Copyright:
© 2017, Springer Science+Business Media New York.
PY - 2017/9/1
Y1 - 2017/9/1
N2 - Nowadays, most systems and applications produce log records that are useful for security and monitoring purposes such as debugging programming errors, checking system status, and detecting configuration problems or even attacks. To this end, a log repository becomes necessary whereby logs can be accessed and visualized in a timely manner. This paper presents Loginson, a high-performance log centralization system for large-scale log collection and processing in large IT infrastructures. Besides log collection, Loginson provides high-level analytics through a visual interface for the purpose of troubleshooting critical incidents. We note that Loginson outperforms all of the other log centralization solutions by taking full advantage of the vertical scalability, and therefore decreasing Capital Expenditure (CAPEX) and Operating Expense (OPEX) costs for deployment scenarios with a huge volume of log data.
AB - Nowadays, most systems and applications produce log records that are useful for security and monitoring purposes such as debugging programming errors, checking system status, and detecting configuration problems or even attacks. To this end, a log repository becomes necessary whereby logs can be accessed and visualized in a timely manner. This paper presents Loginson, a high-performance log centralization system for large-scale log collection and processing in large IT infrastructures. Besides log collection, Loginson provides high-level analytics through a visual interface for the purpose of troubleshooting critical incidents. We note that Loginson outperforms all of the other log centralization solutions by taking full advantage of the vertical scalability, and therefore decreasing Capital Expenditure (CAPEX) and Operating Expense (OPEX) costs for deployment scenarios with a huge volume of log data.
KW - Data repositories for log collection
KW - Large datacenters
KW - Log analysis
KW - Operational intelligence
UR - http://www.scopus.com/inward/record.url?scp=85014539558&partnerID=8YFLogxK
U2 - 10.1007/s11227-017-1990-1
DO - 10.1007/s11227-017-1990-1
M3 - Article
AN - SCOPUS:85014539558
SN - 0920-8542
VL - 73
SP - 3879
EP - 3900
JO - Journal of Supercomputing
JF - Journal of Supercomputing
IS - 9
ER -