GRNTI 50.07 Теоретические основы вычислительной техники
BBK 3297 Вычислительная техника
Quality of IT Services (QoS), providing across all globally distributed regions via Internet, use modern cloud computing IT technologies having big data flow and, therefore, is actual. This paper briefly describes the methods of analysis and visualization of monitoring big data based on Key Performance Indicators (KPIs) of a cloud computing IT system using real world example of globally distributed infrastructure of the International IT Company. Implementation of proposed methods of visual analytics in worldwide leading IT companies – RingCentral (USA) and Zabbix (Latvia), – allowed improving of QoS and availability of IT services up to a worldwide level of 99.999% in 24/7 mode. Implementation of new solutions in IT companies is confirmed by corresponding documents and by publications in PhD and DSc thesis of the coauthors.
information system, globally distributed computing infrastructure, big data, cloud computing, monitoring events, system analysis, graphics visualization
1. Mescheryakov S.V., Schemelinin D.A. Metody vizualizacii i analiza bol'shih dannyh v oblachnyh informacionnyh sistemah // Trudy 28-y Mezhdunarodnoy konferencii po komp'yuternoy grafike i mashinnomu zreniyu (Grafikon). – Tomsk, TPU, 2018. – S. 151-154, http://2018.graphicon.ru/
2. Efimov V. Performance and Quality Evaluation of Cloud Information Services // Communications in Computer and Information Science. – Springer International Publishing Switzerland, 2016, V. 601. – P. 230-237, http://www.springer.com/gp/book/9783319308425
3. Efimov V.V., Yakovlev K.A. Integration and Continuous Service Delivery in Globally Distributed Computing System // Humanities and Science University Journal. – 2017. – №30. – S. 13-20, http://uni-journal.ru/technics/archive/
4. Kucherova K., Mescheryakov S., Shchemelinin D. Prediction Experience and New Model // The 7th Annual International IT Zabbix Conference, Riga, Latvia, 2017, http://www.zabbix.com/conf2017_agenda.php, https://youtu.be/4TY4eIB7tiw
5. Mescheryakov S., Shchemelinin D. Capacity Management of Java Based Business Applications Running on Virtualized Environment // The 39th International IT Conference on Computer Performance Evaluation and Management by Computer Measurement Group (CMG), La Jolla, CA, USA, 2013, http://www.cmg.org/publications/conferenceproceedings/conference-proceedings-2013/
6. Mescheryakov S., Shchemelinin D. Proactive and Reactive Monitoring // The 4th Annual International IT Zabbix Conference, Riga, Latvia, 2014, http://www.zabbix.com/conf2014_agenda.php, http://www.youtube.com/watch?v=PbUwr7tciwk
7. Nadeem Unuth. Mean Opinion Score (MOS): A Measure of Voice Quality, https://www.lifewire.com/measure-voicequality-3426718
8. Palladion. User Manual, https://serviceassurance.yourservices.co.uk/help/_static/pal ladion-user-manual.pdf
9. RingCentral Inc. Official web site, http://www.ringcentral.com/
10. Verschelde J. The Method of Weierstrass (also known as the Durand–Kerner method), 2003.
11. Ward M.D., Ahlquist J.S. Maximum Likelihood for Social Science: Strategies for Analysis. Cambridge University Press, 2018. ISBN 978-1-316-63682-4.
12. Zabbix Enterprise-class Monitoring Solution. Official web site, http://www.zabbix.com/product.php
