Microservices for Scalability

Hasselbring, Wilhelm

doi:10.1145/2851553.2858659

Cited by 51 publications

(27 citation statements)

References 26 publications

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“…Within the short span of 4 years, a large number of organizations have opted to adopt the MSA . This is a clear indicator of the advantages that can be reaped by using the MSA style, which includes scalability, agility, autonomy, and several others.…”

Section: Discussionmentioning

confidence: 99%

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Joseph

Chandrasekaran

2019

Softw Pract Exp

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Microservice architecture style has been gaining wide impetus in the software engineering industry. Researchers and practitioners have adopted the microservices concepts into several application domains such as the internet of things, cloud computing, service computing, and healthcare. Applications developed in alignment with the microservices principles require an underlying platform with management capabilities to coordinate the different microservice units and ensure that the application functionalities are delivered to the user. A multitude of approaches has been proposed for the various tasks in microservices-based systems. However, since the field is relatively young, there is a need to organize the different research works. In this study, we present a comprehensive review of the research approaches directed toward microservice architectures and propose a multilevel taxonomy to categorize the existing research. The study also discusses the different distributed computing paradigms employing microservices and identifies the open research challenges in the domain.

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Section: Discussionmentioning

confidence: 99%

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Joseph

Chandrasekaran

2019

Softw Pract Exp

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“…This also facilitates an individual choice of programming language, database system and technology stack for each service. Loose coupling between microservices enables individual scaling of them and allows the system as a whole to scale more fine-grained [9]. This avoids wasting computing resources as only those components need to be scaled for which it is necessary.…”

Section: Microservice Architecturementioning

confidence: 99%

A Scalable Architecture for Power Consumption Monitoring in Industrial Production Environments

Henning

Hasselbring

Möbius³

2019

2019 IEEE International Conference on Fog Computing (ICFC)

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Detailed knowledge about the electrical power consumption in industrial production environments is a prerequisite to reduce and optimize their power consumption. Today's industrial production sites are equipped with a variety of sensors that, inter alia, monitor electrical power consumption in detail. However, these environments often lack an automated data collation and analysis. We present a system architecture that integrates different sensors and analyzes and visualizes the power consumption of devices, machines, and production plants. It is designed with a focus on scalability to support production environments of various sizes and to handle varying loads. We argue that a scalable architecture in this context must meet requirements for fault tolerance, extensibility, real-time data processing, and resource efficiency. As a solution, we propose a microservicebased architecture augmented by big data and stream processing techniques. Applying the fog computing paradigm, parts of it are deployed in an elastic, central cloud while other parts run directly, decentralized in the production environment.A prototype implementation of this architecture presents solutions how different kinds of sensors can be integrated and their measurements can be continuously aggregated. In order to make analyzed data comprehensible, it features a single-page web application that provides different forms of data visualization. We deploy this pilot implementation in the data center of a medium-sized enterprise, where we successfully monitor the power consumption of 16 servers. Furthermore, we show the scalability of our architecture with 20,000 simulated sensors.

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“…Because of this SOAPServices are sometimes referred to as 'big' services and the use of the work 'micro' may be a reaction to this. Dumbness in microservices is a reference to the use of lightweight message bus [22] such as ZeroMQ [23] for simple reliable asynchronous messaging between microservices.…”

Section: Smart Endpoints and Dumb Pipesmentioning

confidence: 99%

Towards an understanding of microservices

Shadija

Rezai

Hill

2017

2017 23rd International Conference on Automation and Computing (ICAC)

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Microservices architectures are a departure from traditional Service Oriented Architecture (SOA). Influenced by Domain Driven Design (DDD), microservices architectures aim to help business analysts and enterprise architects develop scalable applications that embody flexibility for new functionalities as businesses develop, such as scenarios in the Internet of Things (IoT) domain. This article compares microservices architecture with SOA and identifies key characteristics that will assist application designers to select the most appropriate approach. Keywords-ServiceOriented Architecture (SOA), microservices, Domain Driven Design (DDD), Software Engineering I.

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Microservices for Scalability

Cited by 51 publications

References 26 publications

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

A Scalable Architecture for Power Consumption Monitoring in Industrial Production Environments

Towards an understanding of microservices

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