Annotating executable DSLs with energy estimation formulas

Fosse, Thibault Béziers la; Tisi, Massimo; Mottu, Jean-Marie; Sunyé, Gerson

doi:10.1145/3426425.3426930

Cited by 5 publications

(3 citation statements)

References 45 publications

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“…Power is also one of the metrics considered by Brondolin and Santambrogio, providing closed-box monitoring for multi-component applications [37]. Some proposals aimed to estimate the energy efficiency of specific applications in embedded systems [38] but cannot be applied in complex cloud infrastructures. A virtual energy system exploited to optimize the carbon efficiency of applications is proposed by Souza, Bashir, et al [39].…”

Section: State Of the Artmentioning

confidence: 99%

Enriching Cloud-native Applications with Sustainability Features

Vitali,

Schmiedmayer,

Bootz

2023

2023 IEEE International Conference on Cloud Engineering (IC2E)

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Due to the ever-growing demand for computational resources, the environmental impact of data centers is continuously increasing. Recently, a great effort has been made to mitigate this impact, while the demand for computational resources has continued to grow. Current mitigation strategies focus on the infrastructure perspective, while the application perspective has been neglected. This paper aims to engage application designers and developers on the path to greener application design. Following the Sustainable Application Design Process (SADP) methodology, we introduce a Sustainable Application Design Architecture (SADA) for enriching cloud-native application components with sustainability features that can be exploited to adapt the application workflow to the environmental context. The architecture enables synergies from design to deployment between all stakeholders involved in the application management. The paper focuses on enriching the application with sustainability features in the design and development phases. We also present and discuss a prototype that can translate designlevel sustainability features into development features.

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Section: State Of the Artmentioning

confidence: 99%

Enriching Cloud-native Applications with Sustainability Features

Vitali,

Schmiedmayer,

Bootz

2023

2023 IEEE International Conference on Cloud Engineering (IC2E)

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“…These approaches propose general principles and lacks from practical solutions. Some proposal aimed to estimate energy efficiency of specific applications in embedded systems [11], but cannot be applied in complex cloud infrastructures. From a design perspective, in [30] more specific guidelines are provided focusing only on data mining.…”

Section: State Of the Artmentioning

confidence: 99%

Towards Greener Applications: Enabling Sustainable-aware Cloud Native Applications Design

Vitali

2022

Advanced Information Systems Engineering

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Data centers energy demand is increasing. While a great deal of effort has been made to reduce the amount of CO2 generated by large cloud providers, too little has been done from the application perspective. We claim that application developers can impact the environmental footprint by enhancing the application design with additional features. Following the proposed Sustainable Application Design Process (SADP), the application design is enriched with information that can be leveraged by cloud providers to manage application execution in an energyaware manner. This exploratory work aims to emphasize the awareness on the sustainability of applications by proposing a methodology for its evaluation. To this end, we first suggest possible actions to enrich the application design towards sustainability, and finally describe how this additional information can be leveraged in the application workflow. We discuss the feasibility of our methodology by referring to existing tools and technologies capable of supporting the design features proposed in a production environment.

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“…We found only one DSL-based approach, namely Energy Estimation Language (EEL) [4] The DSL-Comet does not have a code generator to generate source code for the targeted platform.…”

Section: Dsl For Energy Specificationmentioning

confidence: 99%

eGEN: An Energy-saving Modeling Language and Code Generator for Location-sensing of Mobile Apps

Boyalakuntla¹,

C²,

Chimalakonda³

et al. 2022

Preprint

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The demand for reducing the energy consumption of location-based applications has increased in recent years. The abnormal battery-draining behavior of GPS makes it difficult for the developers to decide on battery optimization during the development phase directly. It will reduce the burden on developers if battery-saving strategies are considered early, and relevant battery-aware code is generated from the design phase artifacts. Therefore, we aim to develop tool support, eGEN, to specify and create native location-based mobile apps. eGEN consists of Domain-specific Modeling Language (DSML) and a code generator for location-sensing. It is developed using Xtext and Xtend as an Eclipse plug-in, and currently, it supports native Android apps. eGEN is evaluated through controlled experiments by instrumenting the generated code in five location-based open-source Android applications. The experimental results show 4.35 minutes of average GPS reduction per hour and 188 mA of average reduction in battery consumption while showing only 97 meters degrade in location accuracy over 3 kilometers of a cycling path. Hence, we believe that code generated by eGEN would help developers to balance between energy and accuracy requirements of location-based applications. The source code, documentation, tool demo video 1 , and tool installation video 2 are available at https://github.com/Kowndinya2000/egen.

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Annotating executable DSLs with energy estimation formulas

Cited by 5 publications

References 45 publications

Enriching Cloud-native Applications with Sustainability Features

Enriching Cloud-native Applications with Sustainability Features

Towards Greener Applications: Enabling Sustainable-aware Cloud Native Applications Design

eGEN: An Energy-saving Modeling Language and Code Generator for Location-sensing of Mobile Apps

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