IT Operations Analytics: Root Cause Analysis via Complex Event Processing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F19%3A00108341" target="_blank" >RIV/00216224:14610/19:00108341 - isvavai.cz</a>

Result on the web

<a href="http://dl.ifip.org/db/conf/im/im2019demo/191791.pdf" target="_blank" >http://dl.ifip.org/db/conf/im/im2019demo/191791.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

IT Operations Analytics: Root Cause Analysis via Complex Event Processing

Original language description

IT operation analytics (ITOA) is used for discovering complex patterns in data from IT systems. The analytics process still includes a significant portion of human interaction which makes the analysis costly and error-prone. Human operators need to formulate queries over the collected data to identify the complex patterns. Since the queries describe complex relations, the queries are usually multilevel, perplexing, and complicated to create. For the querying the complex relations, complex event processing methods are successfully used in other domains. In this paper, we demonstrate an application of the complex event processing principles in the ITOA domain. We adjust T-Rex complex event processing engine and improve TESLA event processing language to suit for ITOA tasks. Our demonstration includes two real-world use-cases. We show the utilization of the complex event processing for root cause analysis and demonstrate the natural formulation of complex queries that results in the reduction of the volume of the required human interaction.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/TH02010185" target="_blank" >TH02010185: Research and Development of Advanced Analytics Tools for Security and Performance Analysis of Network Infrastructure, Applications and Services</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)

ISBN

9781728106182

ISSN

1573-0077

e-ISSN

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Number of pages

2

Pages from-to

741-742

Publisher name

IEEE

Place of publication

Washington DC, USA

Event location

Washington DC, USA

Event date

Jan 1, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000469937200142