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The impact of distributed programming abstractions on application energy consumption (2013)
| Venue: | Information and Software Technology |
| Citations: | 7 - 5 self |
BibTeX
@ARTICLE{Kwon13theimpact,
author = {Young-woo Kwon and Eli Tilevich},
title = {The impact of distributed programming abstractions on application energy consumption},
journal = {Information and Software Technology},
year = {2013}
}
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Abstract
With battery capacities remaining a key physical constraint for mobile de-vices, energy efficiency has become an important software design considera-tion. Distributed programming abstractions (e.g., sockets, RPC, messages, etc.) are an essential component of modern software, but their energy con-sumption characteristics are poorly understood. The programmer has few practical guidelines to choose the right abstraction for energy-constrained scenarios. In this article, we report on the findings of a systematic study we conducted to compare and contrast major distributed programming ab-stractions in terms of their energy consumption patterns. By varying the abstractions with the rest of the functionality fixed, we measure and analyze the impact of distributed programming abstractions on application energy consumption. Based on our findings, we present a set of practical guidelines for the programmer to select an abstraction that satisfies the energy con-sumption constraints in place. Our other guidelines can steer future efforts in creating energy efficient distributed programming abstractions.
Keyphrases
distributed programming abstraction application energy consumption practical guideline programming abstraction future effort mobile de-vices essential component energy con-sumption constraint battery capacity important software design considera-tion energy consumption pattern right abstraction key physical constraint systematic study energy efficient energy efficiency modern software energy-constrained scenario energy con-sumption characteristic
