A Survey On Log Research Of AIOps: Methods and Trends

With the development of Artificial Intelligence (AI), Internet of Things (IoT), cloud computing, new-generation mobile communication, etc., digital transformation is changing the technical architecture of IT systems. It brings more requirements for performance and reliability. The traditional human-...

Full description

Saved in:
Bibliographic Details
Published in:Mobile networks and applications 2021-12, Vol.26 (6), p.2353-2364
Main Authors: Zhaoxue, Jiang, Tong, Li, Zhenguo, Zhang, Jingguo, Ge, Junling, You, Liangxiong, Li
Format: Article
Language:English
Subjects:
Artificial intelligence
Cloud computing
Communications Engineering
Computer Communication Networks
Electrical Engineering
Engineering
Internet of Things
IT in Business
Mobile computing
Networks
Trends
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:With the development of Artificial Intelligence (AI), Internet of Things (IoT), cloud computing, new-generation mobile communication, etc., digital transformation is changing the technical architecture of IT systems. It brings more requirements for performance and reliability. The traditional human-dependent development and maintenance methods are overwhelmed, and need to transform to Artificial Intelligence for IT Operations (AIOps). As one of the most useful data resources in IT system, the log plays an important role in AIOps. There are many research on enhancing log quality, analyzing log structure, understanding system behavior, helping users to mine the effective information in logs. Based on the characteristics of logs and different strategies, this paper reviews and categorizes the existing works around the three key processes in the log processing framework of log enhancement, log parsing, and log analysis in academia, and establishes evaluation indicators for comparison and summary. Finally, we discussed the potential directions and future development trends.
ISSN:1383-469X
1572-8153
DOI:10.1007/s11036-021-01832-3