This blog relates to experiences in the Systems Capacity and Availability areas, focusing on statistical filtering and pattern recognition and BI analysis and reporting techniques (SPC, APC, MASF, 6-SIGMA, SEDS/SETDS and other)
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I have got the comment on my previous post “ BIRT based Control Chart “ with questions about how actually in BIRT the data are prepared for ...
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Your are welcome to post to this blog any message related to the Capacity, Performance and/or Availability of computer systems. Just put you...
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Thursday, March 24, 2022
Our poster presentation "SPEC Research — Introducing the #PredictiveAnalytics Working Group" is scheduled at #ICPE2022 #ICPEconf Poster & Demo (Monday - April 11, 2022, 5:15pm)

Wednesday, March 16, 2022
I am happy to co-author 2 papers for #ICPE2022 #ICPEconf
Online conference program https://icpe2022.spec.org/program_files/schedule/ scheduled our following presentations:
Poster & Demo (Monday - April 11, 2022, 5:15pm )
André Bauer, Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor Trubin, Benjamin Erb, Jörg Domaschka and Pooyan Jamshidi. SPEC Research — Introducing the Predictive Data Analytics Working Group
Data Challenge (Tuesday - April 12,, 4:15pm - 4:55pm)
Md Shahriar Iqbal, Mark Leznik, Igor Trubin, Arne Lochner, Pooyan Jamshidi and André Bauer. Change Point Detection for MongoDB Time Series Performance Regression

Monday, February 28, 2022
"Change Point Detection (#ChangeDetection) for MongoDB Time Series Performance Regression" paper for ACM/SPEC ICPE 2022 Data Challenge Track
The ACM/SPEC ICPE 2022 - Data Challenge Track Committee has decided to ACCEPT our article:
TITLE: Change Point Detection for MongoDB Time Series Performance Regression
AUTHORS: Md Shahriar Iqbal, Mark Leznik, Igor Trubin, Arne Lochner, Pooyan Jamshidi and André Bauer
CPD - Change Point Detection (#ChangeDetection) is implemented in the free web tool Perfomalist

Wednesday, February 9, 2022
My Cloud Optimization team at #CapitalOne bank won the CMG.org #Innovation Award (#CMGNews)

Thursday, February 3, 2022
My publications in RG got 5000+ reads

Friday, January 21, 2022
Panel Discussion: Roadmap for Cultivating Performance-Aware Software Engineers

"#CloudServers Rightsizing with #Seasonality Adjustments" - my presentation at CMG IMPACT conference (#CMGnews)

Thursday, January 6, 2022
"Performance Anomaly and Change Point Detection for Large-Scale System Management" - my paper published at Springer
Intelligent Sustainable Systems pp 403-407| Cite as
Performance Anomaly and Change Point Detection for Large-Scale System Management
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Abstract
The presentation starts with the short overview of the classical statistical process control (SPC)-based anomaly detection techniques and tools including Multivariate Adaptive Statistical Filtering (MASF); Statistical Exception and Trend Detection System (SETDS), Exception Value (EV) meta-metric-based change point detection; control charts; business driven massive prediction and methods of using them to manage large-scale systems such as on-prem servers fleet or massive clouds. Then, the presentation is focused on modern techniques of anomaly and normality detection, such as deep learning and entropy-based anomalous pattern detections.
Keywords
Anomaly detection Change point detection Business driven forecast Control chart Deep Learning Entropy analysisReferences
- 1.Trubin, I.: Exception based modeling and forecasting. In: Proceedings of Computer Measurement Group (2008)Google Scholar
- 2.Jeffrey Buzen, F., Annie Shum, S.: MASF—multivariate adaptive statistical filtering. In: Proceedings of Computer Measurement Group (1995)Google Scholar
- 3.Trubin, I.: Review of IT control chart. CIS J. 4(11), 2079–8407 (2013)Google Scholar
- 4.Perfomalist Homepage, http://www.perfomalist.com. Last accessed on 10 June 2021
- 5.Trubin, I., et al.: Systems and methods for modeling computer resource metrics. US Patent 10,437,697 (2016)Google Scholar
- 6.Trubin, I.: Capturing workload pathology by statistical exception detection. In: Proceedings of Computer Measurement Group (2005)Google Scholar
- 7.Loboz, C.: Quantifying imbalance in computer systems. In: Proceedings of Computer Measurement Group (2011)Google Scholar
