Deployment and Evaluation of ChromeOS
Angelo M. Reyes | Josan D. Tamayo | Emil Jayson Andrada | Setiel Marie Amores | Jemelyn O. Garcia
Discipline: education and teaching
Abstract:
This paper aims to deploy the Google ChromeFlex Operating System and
evaluate its efficiency. It uses a deep learning algorithm that analyzes all
results from other users with the same browser type and on the same OS.
This provides a meaningful evaluation of the computer unit's stressed
components, including CPU, GPU, Memory, and Storage. Findings reveal
that ChromeFlex OS works efficiently when the computer is connected
online. Furthermore, GPU performance in ChromeFlex OS is lower in applications requiring graphics-related work like effects and videos. Using
ChromeFlex OS on computer units used for daily tasks using Internetbased applications is recommended. ChromeFlex OS is a new operating
system with limited compatibility, and most productivity tools compatible with old operating systems, such as Windows OS, MAC OS, and LINUX,
among others, will not run in ChromeFlex OS.
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