CRITiCAL: A Configuration Tool for Context Aware and mobiLe Applications

Duarte, Paulo A. de S.; Gomes, Francisco; Viana, Windson; Trinta, Fernando

doi:10.1109/compsac.2015.91

Cited by 6 publications

(6 citation statements)

References 16 publications

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“…Finally, there are ad-hoc solutions that build their own adaptation solution based on custom self-adaptive frameworks [10,13] , function mapping [32] or evolutionary algorithms [11] . In general, these ad-hoc solutions are difficult for software developers to reuse, and require the specific solution to be studied in detail to adapt it to the developers' needs.…”

Section: Ad-hoc Solutionsmentioning

confidence: 99%

“…In mobile applications, despite the fact that adaptations are frequently driven by non-functional requirements such as improving the application's performance [10,12,15], increasing the failure tolerance [15], or improving the user experience [3,32,48], among others; reducing the energy consumption is the most important objective [3,10,45,46,49,53], as the most recent energy optimization approaches focus on [10,50,53,54].…”

Section: Related Workmentioning

confidence: 99%

“…There are other adaptation frameworks specific to Android, such as the Xposed framework used in this paper, morphone.OS [3] , ART-Droid [19] , or CRITiCAL [32] . Nacci et al define morphone.OS [3] , a framework for monitoring the context of an Android smartphone.…”

Section: Related Workmentioning

confidence: 99%

“…However, as Xposed, ARTDroid requires the new functionality to be introduced at load-time, so changes need to be predefined before the execution of the application. CRITiCAL [32] is based on a model-driven middleware that includes a domain specific language for modeling the contextual information and adaptation rules, transforming them into executable code. The middleware provides the code required to deal with sensors and to react and execute functionality according to contextual rules.…”

Section: Related Workmentioning

confidence: 99%

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Energy efficient adaptation engines for android applications

Cañete

Horcas

Ayala

et al. 2020

Information and Software Technology

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ContextThe energy consumption of mobile devices is increasing due to the improvement in their components (e.g., better processors, larger screens). Although the hardware consumes the energy, the software is responsible for managing hardware resources such as the camera software and its functionality, and therefore, affects the energy consumption. Energy consumption not only depends on the installed code, but also on the execution context (environment, devices status) and how the user interacts with the application.Objective In order to reduce the energy consumption based on user behavior, it is necessary to dynamically adapt the application. However, the adaptation mechanism also consumes a certain amount of energy in itself, which may lead to an important increase in the energy expenditure of the application in comparison with the benefits of the adaptation. Therefore, this footprint must be measured and compared with the benefit obtained.Method In this paper, we (1) determine the benefits, in terms of energy consumption, of dynamically adapting mobile applications, based on user behavior; and (2) advocate the most energy-efficient adaptation mechanism. We provide four different implementations of a proposed adaptation model and measure their energy consumption. ResultsThe proposed adaptation engines do not increase the energy consumption when compared to the benefits of the adaptation, which can reduce the energy consumption by up to 20%. ConclusionThe adaptation engines proposed in this paper can decrease the energy consumption of the mobile devices based on user behavior. The overhead introduced by the adaptation engines is negligible in comparison with the benefits obtained by the adaptation.

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Section: Ad-hoc Solutionsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Energy efficient adaptation engines for android applications

Cañete

Horcas

Ayala

et al. 2020

Information and Software Technology

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“…Reacting to changes in this context, mobile applications for remote environments, such as daily life objects from the Internet of Things (IoT) [1] or small devices connected to Wireless Sensor Networks [2] should dynamically adapt themselves to a new external configuration. Thanks to this, Context-Aware and Mobile (CAM) applications [3] that explore Pervasive Computing techniques [4] have been receiving special interest in the recent years.…”

Section: Introductionmentioning

confidence: 99%

Self-adaptive Systems Driven by Runtime Models

Thiry¹,

Schmidt²

2017

International Conferences on Software Engineering and Knowledge Engineering

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Abstract-Model-Driven Software Engineering (MDSE) represents a promising research area with a variety of challenging issues open for discussion. Expanding the limits of the MDSE paradigm, runtime models keep abstract representations of the running system in order to trigger on-the-fly software reconfigurations. One of the most popular applications of runtime models are self-adaptive systems, since abstractions can be finetuned not only in the development phases, but also in runtime. As this kind of system needs to modify its behavior during execution, this can be achieved by means of high-level model interventions. The objective of this article is to present relevant approaches of self-adaptive systems driven by runtime models. This article can help practitioners to get an overall picture of current approaches, in terms of methods, techniques and tools. Researchers can also be inspired to create new or to extend current approaches, facing the challenges identified here. To that end, we conducted a rigorous Systematic Literature Review based on the guidelines proposed by Kitchenham. This paper provides answers for four research questions, based on 16 selected articles. In the conclusion, we present some considerations and challenges based on the results obtained from this review.

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