Name
Title | ||
|---|---|---|
Solutions for Monitoring and Anomaly Detection in Dynamic IT Infrastructure: Literature Review |
Abstract | ||
|---|---|---|
Modern information technology infrastructure is highly complex, and its monitoring requires integration of different monitoring tools and management systems. That is especially important if monitoring data is to be used for predictive maintenance purposes. This paper identifies methods and technologies suitable for analysis of the information technology infrastructure. They are identified by means of literature review. The research questions considered are: 1) What methods are applicable for analysing the virtualized IT infrastructure related data from a technological point of view? 2) What architectural patterns and group of tools are appropriate for infrastructure data processing and analysis? and 3) What tools according to the identified categories in RQ3 can be used for storing and analysing topology graphs and metrics describing virtualized infrastructure? The research finding will serve as an input for further research activities on architectural design of the integrated monitoring solution and development of machine learning model for predictive maintenance. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.5220/0010446102240231 | CLOSER: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE |
Keywords | DocType | Citations |
Infrastructure Monitoring, Network Topology, Streaming, Graph Analytics | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Janis Grabis | 1 | 0 | 0.34 |
| Janis Kampars | 2 | 0 | 0.34 |
| Krisjanis Pinka | 3 | 0 | 1.01 |
| Guntis Mosans | 4 | 0 | 0.34 |
| Ralfs Matisons | 5 | 0 | 0.34 |
| Artjoms Vindbergs | 6 | 0 | 0.34 |