Unveiling the Energy Vampires: A Methodology for Debugging Software Energy Consumption
Saved in:
| Published in: | arXiv.org (Dec 13, 2024), p. n/a |
|---|---|
| Main Author: | |
| Other Authors: | , |
| Published: |
Cornell University Library, arXiv.org
|
| Subjects: | |
| Online Access: | Citation/Abstract Full text outside of ProQuest |
| Tags: |
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3145273028 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 3145273028 | ||
| 045 | 0 | |b d20241213 | |
| 100 | 1 | |a Enrique Barba Roque | |
| 245 | 1 | |a Unveiling the Energy Vampires: A Methodology for Debugging Software Energy Consumption | |
| 260 | |b Cornell University Library, arXiv.org |c Dec 13, 2024 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a Energy consumption in software systems is becoming increasingly important, especially in large-scale deployments. However, debugging energy-related issues remains challenging due to the lack of specialized tools. This paper presents an energy debugging methodology for identifying and isolating energy consumption hotspots in software systems. We demonstrate the methodology's effectiveness through a case study of Redis, a popular in-memory database. Our analysis reveals significant energy consumption differences between Alpine and Ubuntu distributions, with Alpine consuming up to 20.2% more power in certain operations. We trace this difference to the implementation of the memcpy function in different C standard libraries (musl vs. glibc). By isolating and benchmarking memcpy, we confirm it as the primary cause of the energy discrepancy. Our findings highlight the importance of considering energy efficiency in software dependencies and demonstrate the capability to assist developers in identifying and addressing energy-related issues. This work contributes to the growing field of sustainable software engineering by providing a systematic approach to energy debugging and using it to unveil unexpected energy behaviors in Alpine. | |
| 653 | |a Debugging | ||
| 653 | |a Methodology | ||
| 653 | |a System effectiveness | ||
| 653 | |a Energy consumption | ||
| 653 | |a Software | ||
| 700 | 1 | |a Cruz, Luis | |
| 700 | 1 | |a Durieux, Thomas | |
| 773 | 0 | |t arXiv.org |g (Dec 13, 2024), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3145273028/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2412.10063 |