Energy Efficiency in the ICT - Profiling Power Consumption in Desktop Computer Systems

Procaccianti, Giuseppe; Ardito, Luca; Vetrò, Antonio; Morisio, Maurizio

doi:10.5772/48237

Cited by 8 publications

(4 citation statements)

References 12 publications

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“…As shown in previous experiments [2], there is a relevant correlation between resource usage and energy consumption. Answering this RQ allows to identify which resource types drive the energy consumption and how the application of a practice can vary the usage pattern.…”

Section: Rq1: What Is the Impact Of Each Practice In Terms Of Energy supporting

confidence: 65%

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Empirical evaluation of two best practices for energy-efficient software development

Procaccianti

Fernández

Lago

2016

Journal of Systems and Software

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Background. Energy efficiency is an increasingly important property of software. A large number of empirical studies have been conducted on the topic. However, current state-of-the-Art does not provide empiricallyvalidated guidelines for developing energy-efficient software. Aim. This study aims at assessing the impact, in terms of energy savings, of best practices for achieving software energy efficiency, elicited from previous work. By doing so, it identifies which resources are affected by the practices and the possible trade-offs with energy consumption. Method. We performed an empirical experiment in a controlled environment, where we applied two different Green Software practices to two software applications, namely query optimization in MySQL Server and usage of "sleep" instruction in the Apache web server. We then performed a comparison of the energy consumption at system-level and at resource-level, before and after applying the practice. Results. Our results show that both practices are effective in improving software energy efficiency, reducing consumption up to 25%. We observe that after applying the practices, resource usage is more energy-proportional i.e. increasing CPU usage increases energy consumption in an almost linear way. We also provide our reflections on empirical experimentation in software energy efficiency. Conclusions. Our contribution shows that significant improvements in software energy efficiency can be gained by applying best practices during design * Corresponding author Email addresses: g.procaccianti@vu.nl (Giuseppe Procaccianti), hector.fernandez@vu.nl (Hector Fernandez), p.lago@vu.nl (Patricia Lago)Preprint accepted for publication in Journal of Systems and Software February 24, 2016 and development. Future work will be devoted to further validate best practices, and to improve their reusability.

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Section: Rq1: What Is the Impact Of Each Practice In Terms Of Energy supporting

confidence: 65%

“…The energy impact of software has been recognized as significant with respect to the overall energy consumption of its execution environment [1,2]. Many researchers have been working on sophisticated software power models [3,4] able to estimate and predict the energy consumption of software applications through different parameters.…”

Section: Introductionmentioning

confidence: 99%

Empirical evaluation of two best practices for energy-efficient software development

Procaccianti

Fernández

Lago

2016

Journal of Systems and Software

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“…To date, many models and tools are available to estimate software energy consumption but their accuracy varies greatly based on the selected hardware platform. In addition, not all hardware resources are good predictors of energy consumption; identifying the best predictors is still an issue for the researchers in the field [8]. Example.…”

Section: Example Tactic -Energy Modelingmentioning

confidence: 99%

Green Architectural Tactics for the Cloud

Procaccianti¹,

Lago²,

Lewis³

2014

2014 IEEE/IFIP Conference on Software Architecture

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Energy efficiency is a primary concern for the ICT sector. In particular, the widespread adoption of cloud computing technologies has drawn attention to the massive energy consumption of data centers. Although hardware constantly improves with respect to energy efficiency, this should also be a main concern for software. In previous work we analyzed the literature and elicited a set of techniques for addressing energy efficiency in cloud-based software architectures. In this work we codified these techniques in the form of Green Architectural Tactics. These tactics will help architects extend their design reasoning towards energy efficiency and to apply reusable solutions for greener software.

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Section: ) Modelingmentioning

confidence: 99%