An energy saving approach

Valera, Hernan Humberto Alvarez; Dalmau, Marc; Roose, Philippe; Larracoechea, Jorge Andrés; Herzog, Christina

doi:10.1145/3412841.3441888

Cited by 3 publications

(7 citation statements)

References 34 publications

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“…High energy consumption also generates other problems, such as the high cost of refrigeration equipment, overloads and energy costs. There are several techniques to mitigate energy consumption, such as load balancing and efficient task scheduling, although these techniques can degrade the quality of service and reduce the performance of cloud applications [22,25]. Therefore, new energy consumption reduction techniques are needed to optimize microservice architectures.…”

Section: Energy Consumptionmentioning

confidence: 99%

“…Resource Management: The growing increase in data production generates excess requests for services hosted in data centres, making treatment difficult and causing delays in response times [22,53]. The lack of efficient data management causes delays, dropped requests, and even increased energy consumption.…”

Section: Energy Consumptionmentioning

confidence: 99%

“…needed to accommodate VMs or containers. Badly planned migration can also cause resource contention, lower performance and higher energy cost [15,52].…”

Section: Energy Consumptionmentioning

confidence: 99%

“…Through modeling, some other works verified the reliability of the [18] [19]. Multiple studies have indicated that microservices architectures can result in high energy costs for maintaining availability [20], scalability [21] [22], performance [23], reliability [18], and sustainability [24]. Such studies bring up important issues, such as the objectives and different types of energy consumption architecture in microservices.…”

mentioning

confidence: 96%

“…High energy costs have a negative impact on the environment and on companies' operating costs. The high energy consumption in microservice architectures goes beyond the energy cost itself and can affect the quality of service of the entire system, impairing the performance and availability of the [22,25] system. Therefore, it is important to study and develop solutions to improve the energy efficiency of microservice architectures.…”

mentioning

confidence: 99%

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Energy Consumption in Microservices Architectures: A Systematic Literature Review

Araújo,

Sabino,

Lima

et al. 2023

Preprint

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Cloud computing is a paradigm that delivers technology resources on demand through service virtualization. Virtualization allows sharing of hardware by applications compartmentalized into multiple independent modules. Microservices architecture uses the ability of virtualization to adopt a software architecture approach based on building applications composed of several interdependent and loosely coupled modules. However, microservices architectures can incur large energy costs to achieve the required levels of performance and availability. Several research topics related to energy consumption in microservice architectures have already been explored, such as elasticity, reliability, performance, and availability. However, given the variety of problems and solutions, identifying research trends and gaps related to microservices is complex. We aim to systematically identify, rank, and compare existing research trends and gaps around energy consumption in microservices. This paper presents a systematic review of energy consumption in microservices architectures. This work also provides a list of references to find the mapped works, thus being able to guide searches more safely. paper selection started with 3625 papers, followed by three refinement processes in which 37 papers were selected for a full review. The remaining 37 papers were cataloged and classified according to some criteria, such as metrics, evaluation method and type of architecture. Thus, the review revealed research gaps and trends in energy consumption in microservices architectures. In addition, significant research challenges and directions were identified. The research challenges are presented based on the metrics that guide each work in this systematic review: performance, elasticity, scalability, reliability, sustainability, and availability.

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Section: Energy Consumptionmentioning

confidence: 99%

Section: Energy Consumptionmentioning

confidence: 99%

“…needed to accommodate VMs or containers. Badly planned migration can also cause resource contention, lower performance and higher energy cost [15,52].…”

Section: Energy Consumptionmentioning

confidence: 99%

mentioning

confidence: 96%

mentioning

confidence: 99%

See 3 more Smart Citations

Energy Consumption in Microservices Architectures: A Systematic Literature Review

Araújo,

Sabino,

Lima

et al. 2023

Preprint

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Energy Measurement System for Data Lake: An Initial Approach

Alvarez-Valera,

Maurice,

Ravat

et al. 2024

Intelligent Information and Database Systems

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A Proposal of Behavior-Based Consumption Profiles for Green Software Design

Larracoechea,

Ilarri,

Roose

2024

Applied Sciences

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Despite the increase in the efficiency of energy consumption in information and communication technology, software execution and its constraints are responsible for how energy is consumed in hardware hosts. Consequently, researchers have promoted the development of sustainable software with new development methods and tools to lessen its hardware demands. However, the approaches developed so far lack cohesiveness along the stages of the software development life cycle (SDLC) and exist outside of a holistic method for green software development (GSD). In addition, there is a severe lack of approaches that target the analysis and design stages of the SDLC, leaving software architects and designers unsupported. In this article, we introduce our behavior-based consumption profile (BBCP) external Domain-Specific Language (DSL), aimed at assisting software architects and designers in modeling the behavior of software. The models generated with our external DSL contain multiple sets of properties that characterize features of the software’s behavior. In contrast to other modeling languages, our BBCP emphasizes how time and probability are involved in software execution and its evolution over time, helping its users to gather an expectation of software usage and hardware consumption from the initial stages of software development. To illustrate the feasibility and benefits of our proposal, we conclude with an analysis of the model of a software service created using the BBCP, which is simulated using Insight Maker to obtain an estimation of hardware consumption and later translated to energy consumption.

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An energy saving approach

Cited by 3 publications

References 34 publications

Energy Consumption in Microservices Architectures: A Systematic Literature Review

Energy Consumption in Microservices Architectures: A Systematic Literature Review

Energy Measurement System for Data Lake: An Initial Approach

A Proposal of Behavior-Based Consumption Profiles for Green Software Design

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