Impact Archives - Page 2 of 3 - Computer Measurement Group

Impact

January 29, 2021
IMPACT2021 | New Millennial in Mainframe – Hasnain Attarwala
During this session, our presenter will talk about his own journey as a young person […]
January 29, 2021
IMPACT2021 | DevOps: Delivering Relationships and Solutions – Cotishea Anderson
In this talk, I will discuss novel deliverables from a DevOps perspective; delivering people skills, […]
January 29, 2021
IMPACT2021 | Natural Language Generation: Creating human readable text with machines – Mohammed Jalil
Not all performance topics and recommendations simply cut and dry. Many are controversial. These are […]
January 29, 2021
IMPACT2021 | Failing over without falling over – Adrian Cockcroft
In this keynote presentation, Adrian Cockroft will talk about failing over without falling over; using […]
January 29, 2021
IMPACT2021 | MythBusters vs. Queuing Theory – Reality Trumps Theory – Richard Gimarc
This presentation will examine one of the myths busted by MythBusters®. The myth had to […]
January 29, 2021
IMPACT2021 | Finding the right Use Cases for AI – Kanwar Gaurav Paul
AI is more of an art than just a technology. Finding the right use cases […]
January 29, 2021
IMPACT2021 | Turning the Lights on in Capacity Management – Daniel Ruehl
Capacity Management process maturity includes aligning capacity, performance, and cost. This process alignment are critical […]
January 29, 2021
IMPACT2021 | Cost-to-Serve: Computing Transaction Efficiency – Tuli Nivas
In a cloud operating environment, it is of utmost importance to understand performance, capacity and […]
January 29, 2021
IMPACT2021 | Overcoming Automation Fear in Infrastructure as Code – Andre Agostinho
Following the same research line (IaC), this year I would like to address how to […]
January 29, 2021
IMPACT2021 | Concurrent Users – An analytical approach to proper workload simulation – Xiaosong Lou
Concurrent User is one of the key performance metrics in a system. Many performance issues […]
January 29, 2021
IMPACT2021 | SMF & RMF; how to use it, make it effective, and what to do with it – Greg Caliri
Newer mainframe performance analysts and activity trackers may be unfamiliar with the ocean of knowledge […]
January 29, 2021
IMPACT2021 | Capacity Analysis Techniques for VMware VM I/O – Debbie Sheetz
The methodology previously presented for VMware capacity/performance analysis is extended to I/O analysis (memory analysis, […]
January 29, 2021
IMPACT2021 | How Deep Learning Model Architecture Impacts Optimal Training Configuration in the Cloud – Eugene Protasenko
This session is part of a long research program aimed at scrutinizing how different components […]
January 29, 2021
IMPACT2021 | The Golden Era of AI and Machine Learning: The case for on-premise AI resources – Kyle Harper
We truly are experiencing AI’s golden era. The confluence of AI algorithms coming to reality, […]
January 29, 2021
IMPACT2021 | z14 and z15 Pipelines – Luiz Carlos Orsoni
The z13 can execute about 12% more [1.695/1.514] Instructions than the zEC12, although its Cycle […]
January 29, 2021
IMPACT2021 | Python Performance And Other Non-Functional Testing Techniques – Steven Lott
We’ll look at the extremely popular Python language and a specific misconception — Python is […]
January 29, 2021
IMPACT2021 | Improving Forecasting for Capacity Management Using Segmented Regression – John Greenwood, Charles Johnson, Jamie Baker
One problem with the use of linear regression for capacity planning forecasting is that step […]
January 29, 2021
IMPACT2021 | When your site fails it can be great for business! – Thomas Ballard
The site crash was and still is their best sales day, ever. The platform failing […]
January 29, 2021
IMPACT2021 | Locating CICS Abnormal Reponse times – Mark Cohen Austrowiek
Most of z/OS sites run CICS to serve transactional applications. These CICS environments are often […]
January 29, 2021
IMPACT2021 | Performance Engineering Maturity Model: The Four Stages of Performance Culture – Simone Gaiera, Michele Follo
As organizations shift towards agile and CI/CD approaches, performance engineering must change. Success cannot be […]

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