Optimising Energy Consumption of Design Patterns

Noureddine, Adel; Rajan, Ajitha

doi:10.1109/icse.2015.208

Cited by 33 publications

(28 citation statements)

References 15 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These results are in accordance to related studies (see Section 2), which have reached similar conclusions, ie, that the alternative solutions tend to be more energy‐efficient. Specifically, Bunse et al, as well as Noureddine and Rajan, also report on the Template Method pattern, and suggest that this pattern presents a small, yet significant, overhead. Noureddine and Rajan also investigate State and Strategy patterns separately, and report a smaller overhead for State (approx.…”

Section: Discussionmentioning

confidence: 97%

“…Specifically, Bunse et al, as well as Noureddine and Rajan, also report on the Template Method pattern, and suggest that this pattern presents a small, yet significant, overhead. Noureddine and Rajan also investigate State and Strategy patterns separately, and report a smaller overhead for State (approx. 3%) and an equally small improvement for Strategy (approx.…”

Section: Discussionmentioning

confidence: 97%

“…In a recent paper, Noureddine and Rajan performed a comparison on the energy consumption overhead caused by 21 design patterns and explored in details the effects of 2 design patterns (Observer and Decorator pattern). The effects discussed in this paper are the energy consumption of applications using the pattern solution, the nonpattern solution, and an optimized alternative for the design patterns.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Investigating the effect of design patterns on energy consumption

Feitosa

Alders

Ampatzoglou

et al. 2017

J Software Evolu Process

View full text Add to dashboard Cite

Gang of Four (GoF) patterns are well‐known best practices for the design of object‐oriented systems. In this paper, we aim at empirically assessing their relationship to energy consumption, ie, a performance indicator that has recently attracted the attention of both researchers and practitioners. To achieve this goal, we investigate pattern‐participating methods (ie, those that play a role within the pattern) and compare their energy consumption to the consumption of functionally equivalent alternative (nonpattern) solutions. We obtained the alternative solution by refactoring the pattern instances using well‐known transformations (eg, replace polymorphism with conditional statements). The comparison is performed on 169 methods of 2 GoF patterns (namely, State/Strategy and Template Method), retrieved from 2 well‐known open source projects. The results suggest that for the majority of cases the alternative design excels in terms of energy consumption. However, in some cases (eg, when the method is large in size or invokes many methods) the pattern solution presents similar or lower energy consumption. The outcome of our study can be useful to both researchers and practitioners, because we: (1) provide evidence on a possible negative effect of GoF patterns, and (2) can provide guidance on which cases the use of the pattern is not hurting energy consumption.

show abstract

Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 97%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Investigating the effect of design patterns on energy consumption

Feitosa

Alders

Ampatzoglou

et al. 2017

J Software Evolu Process

View full text Add to dashboard Cite

show abstract

“…It is the experience of the authors in industry that still too little is known with regard to the potential benefits of green software to create a valid business case. There is light on the horizon, however, with green software examples and guidelines becoming increasingly more available [3,23,25,39] and concrete. 1 Even without changing the current practice of software engineers [25].…”

Section: Relating Green Software To Software Architecturementioning

confidence: 99%

Extending software architecture views with an energy consumption perspective

et al. 2016

View full text Add to dashboard Cite

The rising energy consumption of the ICT industry has triggered a quest for more sustainable, i.e. energy efficient, ICT solutions. Software plays an essential role in finding these solutions, as software is identified as the true consumer of power. However, in this context, software is often treated as a single, complex entity instead of the interrelated elements that it actually consists of. Although useful results can be gained, this approach fails to provide detailed insight in the elements that invoke specific energy consumption behavior. As a result, software vendors are not able to address energy consumption on software level. In this paper, we propose an energy consumption perspective on software architecture as a means to provide this insight and enable analysis on the architectural elements that are the actual drivers behind the energy consumption. In support of this perspective, we also position sustainability as a potential quality attribute thereby provide a means to quantify energy consumption aspects related to software. In a case study using a commercial software product the perspective and quality attribute are applied, demonstrating the potential by achieving an energy consumption saving of 67.1 %.

show abstract

“…Therefore, although software energy efficiency is becoming increasingly important, development processes of self-greening systems supported by tools are still in their infancy. There are plenty of approaches that present experimental results about how to optimize energy consumption at design time [5,6,7], but little effort has been made to explore reusable solutions of runtime energy optimizations.…”

Section: Introductionmentioning

confidence: 99%

Self-Adaptive Energy-Efficent Applications: The HADAS Developing Approach

Horcas

Pinto

Fuentes

et al. 2017

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing,

View full text Add to dashboard Cite

Abstract-Software systems have a strong impact on the energy consumption of the hardware they use. For this reason, software developers should be more aware of the energy consumed by their systems. Moreover, software systems should be developed to be able to adapt their behavior to minimize the energy consumed during their execution. This paper illustrates how to address the problem of developing self-adaptive energy-efficient applications using the HADAS approach. HADAS makes use of advanced software engineering methods, such as Dynamic Software Product Lines and Aspect-Oriented Software Development. The main steps of the HADAS approach, both during the design of the application and also at runtime are illustrated by applying them to a running case study.

show abstract

Optimising Energy Consumption of Design Patterns

Cited by 33 publications

References 15 publications

Investigating the effect of design patterns on energy consumption

Investigating the effect of design patterns on energy consumption

Extending software architecture views with an energy consumption perspective

Self-Adaptive Energy-Efficent Applications: The HADAS Developing Approach

Contact Info

Product

Resources

About