Power Consumption Patterns Using Telemetry Data

TL;DR

This paper analyzes Intel telemetry data to understand power consumption patterns, emphasizing user behavior over hardware choice, and presents insights and a linear model to inform strategies for reducing environmental impact.

Contribution

It provides new insights into power consumption patterns using telemetry data and highlights the importance of user behavior in influencing power usage.

Findings

Power consumption varies significantly across countries.

User behavior has a substantial impact on power consumption.

A simple linear model confirms observed patterns.

Abstract

This paper examines the analysis of package power consumption using Intel's telemetry data. It challenges the prevailing belief that hardware choice is the primary determinant of a device's power consumption and instead emphasizes the significant role of user behavior. The paper includes two sections: Exploratory Data Analysis (EDA) and a linear model for power consumption. The EDA section provides valuable insights from Intel's telemetry data, comparing power consumption across countries, with a specific focus on power consumption patterns in the US and China. Our simple linear model affirms those patterns and highlight the possible importance of user behavior and its influence on power consumption. Ultimately, the paper underscores the need to understand power consumption patterns and identifies areas where stakeholders like Intel can make improvements to reduce environmental impact effectively and efficiently.