English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper presents the effect of saving Android application execution time on saving energy consumed by optimized applications. An algorithm for optimizing instructions on a Smali code-level proposes to provide execution time. The Smali optimization algorithm relies on replacing high execution times instructions with lower execution times ones and equivalent in behavior. MySMALI compiler is designed to support the proposed optimization algorithm and applied on Android applications. Optimized APK files are generated for optimized applications. Measurements of APKs execution times are taken. Measurements prove that the percentage of optimization in execution time is approximately 26.27%. The paper provides code-level estimates of the energy consumption of Android applications. A programmatic method about reading operating system files is applied to determine resource consumption by the applications. Energy measurements are also recorded by a power monitor (PowerTutor) for Android-based mobile platforms. The measurements of resources (Memory, CPU, Disk) consumption prove that the optimized compiler helps to save the consumption percentage of Android applications about 19.9%. The memory consumed is provided by the optimized compiler to approximately 20000 Kbyte and 31.7 KB size of files. The time that the optimized process of application consumes from the CPU time is reduced from 26% to 5%. The results demonstrate that the providing execution times of applications can save energy consumed to approximately 8.4%, and can save the power consumption by up to 14%. General Terms Compiler Efficiency, Bytecode Optimization, Saving Energy, Android Applications Performance, Resource Utilization.

Programmatic Effect of Optimized Smali Code on Saving Energy of Android Applications