Detailed Information on Publication Record

@inproceedings{34730,
   author = {Drašar, Martin and Jirsík, Tomáš},
   address = {Washington DC, USA},
   booktitle = {2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)},
   keywords = {IT operation analysis; complex event processing; root cause; IP flows; Tesla; T-Rex},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Washington DC, USA},
   isbn = {978-1-72810-618-2},
   pages = {741-742},
   publisher = {IEEE},
   title = {IT Operations Analytics: Root Cause Analysis via Complex Event Processing},
   url = {https://ieeexplore.ieee.org/document/8717814},
   year = {2019}
}

TY  - JOUR
ID  - 34730
AU  - Drašar, Martin - Jirsík, Tomáš
PY  - 2019
TI  - IT Operations Analytics: Root Cause Analysis via Complex Event Processing
PB  - IEEE
CY  - Washington DC, USA
SN  - 9781728106182
KW  - IT operation analysis
KW  - complex event processing
KW  - root cause
KW  - IP flows
KW  - Tesla
KW  - T-Rex
UR  - https://ieeexplore.ieee.org/document/8717814
N2  - 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.
ER  - 

DRAŠAR, Martin and Tomáš JIRSÍK. IT Operations Analytics: Root Cause Analysis via Complex Event Processing. Online. In \textit{2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)}. Washington DC, USA: IEEE, 2019, p.~741-742. ISBN~978-1-72810-618-2.