Scientist Profile

Ken Moore
Mind Blown Working with the effects of velocity and escape velocity on network performance metrics.
Profession Computer Systems Engineer
Interest Relativity
Education BS Degree in Industrial Arts (Production Management election), UNC, Raleigh, NC
Nationality American
Born 1935, Asheboro, North Carolina, USA
Resides Kensington, Maryland, USA
Goal Partnership with S&P 500 companies and / or contractors on GSA list to license "Best Practices" models and OR applications for Distributed Information Systems Performance Measurement and Control.
Favorite Scientist(s) Einstein
Aha Moment While researching 1905 SRT, a eureka moment occurred when it was discovered that when plotted on the same chart the “Relative Time Ratio” curve described by the 1905 SRT function [t/t’ = 1 / (1 – v^2/c^2)^0.5 = β90°)] is congruent with the M/M/1 Queuing System’s “Relative Response Time Ratio” function [(Response Time)/(Service Time) = 1 / (1 – Utilization)].
Current Work Engaged with other "Critical Thinker" scientists at CNPS, Basecamp and Science Woke in a united effort to promote the advancement of science through the process of breaking-up the "Monopolistic Trust" of mainstream science "Group Think".

Computer Systems Engineer with over 30 years experience in Computer Performance Evaluation (CPE) and Mathematical Modeling, Retired.

After retiring from a full time job in 2006 , I became interested in knowing if Special Relativity Theory (SRT) and General Relativity Theory (GRT) could be used to reliably predict the performance of network elements (communications servers and platforms) that are traveling within our Local Group of “fixed stars”. For approximately 14 years after retirement I have developed mathematical models that can predict performance metrics that are affected by a Traveler’s velocity such as relative response times (one way transmission time as well as end-to-end response time for a “stationary” Observer relative to that of a “moving” Traveler), relativistic frequency shifts of radio transmissions and stellar aberration displacement. The current predictive model version (Relativity Queuing Model.V2R1) can predict the above performance metrics (including gravitational mirage and gravitational redshift displacements) that are affected by escape velocity at an intervening point of closest approach to the center of a large mass. The latest predictive model “Relativity Queuing Model.V2R1” including its associated “Figures and Tables.doc”, “Model Instructions.doc” files as well as the “Relativity Queuing Systems” instructional text are parts of an evolving software product. After Downloading the Software, please read the “Product Distribution Letter” first to get additional instructions or “what’s new” information.  The latest revisions of all Software Product files may be obtained free of any charge by following the instructions displayed after acceptance of the End User License Agreement (EULA).  Read EULA HERE.

Technical Papers & Abstracts (Count: 1)