loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Jānis Grabis 1 ; Jānis Kampars 1 ; Krišjānis Pinka 1 ; Guntis Mosāns 1 ; Ralfs Matisons 1 and Artjoms Vindbergs 2

Affiliations: 1 Information Technology Institute, Riga Technical University, Kalku 1, Riga, Latvia ; 2 TET, Dzirnavu 105, Riga, Latvia

Keyword(s): Infrastructure Monitoring, Network Topology, Streaming, Graph Analytics.

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 monito ring solution and development of machine learning model for predictive maintenance. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.223.237.218

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Grabis, J.; Kampars, J.; Pinka, K.; Mosāns, G.; Matisons, R. and Vindbergs, A. (2021). Solutions for Monitoring and Anomaly Detection in Dynamic IT Infrastructure: Literature Review. In Proceedings of the 11th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-510-4; ISSN 2184-5042, SciTePress, pages 224-231. DOI: 10.5220/0010446102240231

@conference{closer21,
author={Jānis Grabis. and Jānis Kampars. and Krišjānis Pinka. and Guntis Mosāns. and Ralfs Matisons. and Artjoms Vindbergs.},
title={Solutions for Monitoring and Anomaly Detection in Dynamic IT Infrastructure: Literature Review},
booktitle={Proceedings of the 11th International Conference on Cloud Computing and Services Science - CLOSER},
year={2021},
pages={224-231},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010446102240231},
isbn={978-989-758-510-4},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Cloud Computing and Services Science - CLOSER
TI - Solutions for Monitoring and Anomaly Detection in Dynamic IT Infrastructure: Literature Review
SN - 978-989-758-510-4
IS - 2184-5042
AU - Grabis, J.
AU - Kampars, J.
AU - Pinka, K.
AU - Mosāns, G.
AU - Matisons, R.
AU - Vindbergs, A.
PY - 2021
SP - 224
EP - 231
DO - 10.5220/0010446102240231
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic