Evaluation of Embedded System Energy Usage with Extended UML Models

Shorin, Dmitriy; Zimmermann, Armin

doi:10.1007/s40568-013-0026-0

Cited by 7 publications

(3 citation statements)

References 3 publications

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“…In [23], a strategy is given by which an application can find its energy consumption according to the pairing of energy-related software and hardware constraints. Also in [24], it is argued that the design process of the embedded system can be helpful in estimating the energy consumption. In [25], the researchers have presented a model-based architectural approach for the analysis of energy efficiency.…”

Section: Related Workmentioning

confidence: 99%

Evaluating the Impact of Design Pattern Usage on Energy Consumption of Applications for Mobile Platform

Qasim

Munawar

Hassan

et al. 2021

Applied Computer Systems

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Energy efficiency in mobile computing is really an important issue these days. Owing to the popularity and prevalence of Android operating system among the people, a great number of Android smartphone applications have been developed and proliferated by the software developers. While developing these applications, developers have to keep energy consumption factor in mind, as the efficiency of an application is largely affected by it. Thus, designers and programmers endeavour to choose the best designing approaches to develop energy-efficient applications. It is imperative to assist the programmers in choosing appropriate techniques and strategies to manage power consumption. In the present research, we have investigated the effect of Android application design on its energy utilisation. For this purpose, we have practically implemented design patterns on two Android applications and evaluated their energy consumption before and after implementing these patterns. We have modelled the high-level design of these two Android applications by using software design patterns in such a way as to abate their energy requirement. We have also checked how the quality, maintainability, and efficiency of code are affected by these design patterns. The outcomes of the research can facilitate programmers to utilise these details while developing energy efficient solutions.

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Section: Related Workmentioning

confidence: 99%

Evaluating the Impact of Design Pattern Usage on Energy Consumption of Applications for Mobile Platform

Qasim

Munawar

Hassan

et al. 2021

Applied Computer Systems

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“…This will greatly affect the energy consumption and as suggested by [29], modelling and design ought to be based on the substitution between energy consumption and other requirements. We present in Figure 5 an example of a system whose energy consumption is modelled under the gUML proposal.…”

Section: Mapping Power To Workflowmentioning

confidence: 99%

gUML: Reasoning about Energy at Design Time by Extending UML Deployment Diagrams with Data Centre Contextual Information

Jebraeil¹,

Noureddine

Doyle

et al. 2017

2017 IEEE World Congress on Services (SERVICES)

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Abstract-With the rising energy demand in ICT services and its associated environmental impact, the need for energy efficient Enterprise ICT solutions is growing. As data centres account for a large part of energy consumption in ICT, data centre operators strive to create opportunities to put more emphasis on reducing energy consumption. However, creating ICT Systems that are energy efficient by design remains a key challenge. In this paper, we identify and map contextual energy information about data centre operations in order to model their power related components. This contextual modelling is then mapped to deployment diagram where we introduce greenUML (gUML), an extension to UML diagrams to improve energy efficiency through energy analysis at design time. gUML will allow system architects to reason about the energy footprint of their applications at design time.

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“…However, they are not usable directly, as UML models are not semantically well-defined for a specification of the resulting stochastic process. For this work, we proposed UML models to be transformed into a model for which analysis algorithms exist [4], [5] and, namely, into extended deterministic and stochastic Petri nets (eDSPN) [6], such that the behavior and the properties are preserved. This was motivated by an earlier work of a former colleague, in which single extended UML state chart models describing reliability aspects of a system were transformed into uncolored stochastic Petri nets (SPN) for their analysis [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Formal description of an approach for power consumption estimation of embedded systems

Shorin

Zimmermann

2014

2014 24th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)

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This paper presents a formal description of an approach for model-based engineering of energy-efficient automation systems. Energy consumption is an important decision criterion, which has to be included in the search for good architectural and design alternatives already on the early system design stages. In the method, we describe an embedded system with an operational model for the processor hardware and an application model for the software. UML extended with MARTE profile elements is used for this part. Both models are transformed into a stochastic Petri net using transformation rules. The procedure steps are described with formal mathematical language and graphical illustrations.

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Evaluation of Embedded System Energy Usage with Extended UML Models

Cited by 7 publications

References 3 publications

Evaluating the Impact of Design Pattern Usage on Energy Consumption of Applications for Mobile Platform

Evaluating the Impact of Design Pattern Usage on Energy Consumption of Applications for Mobile Platform

gUML: Reasoning about Energy at Design Time by Extending UML Deployment Diagrams with Data Centre Contextual Information

Formal description of an approach for power consumption estimation of embedded systems

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