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"nativescript-task-dispatcher": A Reactive Android-Based Task Scheduler and Dispatcher

Authors: Alberto González-Pérez; Miguel Matey-Sanz;

"nativescript-task-dispatcher": A Reactive Android-Based Task Scheduler and Dispatcher

Abstract

NativeScript Task Dispatcher is a NativeScript plugin aimed to ease the execution of mobile app's task definition and execution workflows in the background, regardless of whether the app is visible to the user or not. It abstracts all the platform-specific details, leaving a clear and easy-to-use, yet powerful, API for task development and the definition of dependencies between tasks by means of an event-driven software architecture. This plugin uses native mechanisms to carry out its function. All the code becomes executed in the main thread, we don't use web workers. It is not intended to free the main thread from intensive workloads, but rather to allow tasks to be performed while the user is not actively using the application. Latest source code is available on GitHub, jointly with installation and usage instructions: https://github.com/GeoTecINIT/nativescript-task-dispatcher

The documents in this repository are licensed under a Creative Commons Attribution 4.0 International License. All contained code is licensed under the Apache License 2.0.

Related Organizations
Keywords

Smartphones, Android, Background tasks, Reliability

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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