Microservices and Machine Learning Algorithms for Adaptive Green Buildings

In recent years, the use of services for Open Systems development has consolidated and strengthened. Advances in the Service Science and Engineering (SSE) community, promoted by the reinforcement of Web Services and Semantic Web technologies and the presence of new Cloud computing techniques, such as the proliferation of microservices solutions, have allowed software architects to experiment and develop new ways of building open and adaptable computer systems at runtime. Home automation, intelligent buildings, robotics, graphical user interfaces are some of the social atmosphere environments suitable in which to apply certain innovative trends. This paper presents a schema for the adaptation of Dynamic Computer Systems (DCS) using interdisciplinary techniques on model-driven engineering, service engineering and soft computing. The proposal manages an orchestrated microservices schema for adapting component-based software architectural systems at runtime. This schema has been developed as a three-layer adaptive transformation process that is supported on a rule-based decision-making service implemented by means of Machine Learning (ML) algorithms. The experimental development was implemented in the Solar Energy Research Center (CIESOL) applying the proposed microservices schema for adapting home architectural atmosphere systems on Green Buildings

Microservice Transition and its Granularity Problem: A Systematic Mapping Study

Microservices have gained wide recognition and acceptance in software industries as an emerging architectural style for autonomic, scalable, and more reliable computing. The transition to microservices has been highly motivated by the need for better alignment of technical design decisions with improving value potentials of architectures. Despite microservices' popularity, research still lacks disciplined understanding of transition and consensus on the principles and activities underlying "micro-ing" architectures. In this paper, we report on a systematic mapping study that consolidates various views, approaches and activities that commonly assist in the transition to microservices. The study aims to provide a better understanding of the transition; it also contributes a working definition of the transition and technical activities underlying it. We term the transition and technical activities leading to microservice architectures as microservitization. We then shed light on a fundamental problem of microservitization: microservice granularity and reasoning about its adaptation as first-class entities. This study reviews state-of-the-art and -practice related to reasoning about microservice granularity; it reviews modelling approaches, aspects considered, guidelines and processes used to reason about microservice granularity. This study identifies opportunities for future research and development related to reasoning about microservice granularity.Comment: 36 pages including references, 6 figures, and 3 table

Jolie Microservices: An Experiment

Os microsserviços estão cada vez mais presentes no mundo das tecnologias de informação, por providenciarem uma nova forma construir sistemas mais escaláveis, ágeis e flexíveis. Apesar disto, estes trazem consigo o problema da complexidade de comunicação entre microsserviços, fazendo com que o sistema seja difícil de manter e de se perceber. Linguagens de programação específicas a microsserviços como Jolie entram em cena para tentar resolver este problema e simplificar a construção de sistemas com arquiteturas de microsserviços. Este trabalho fornece uma visão ampla do estado da arte da linguagem de programação Jolie onde é primeiramente detalhado o porquê de surgirem linguagens específicas a microsserviços e como a linguagem Jolie está construída de maneira a coincidir com as arquiteturas de microsserviços através de recursos nativos. Para demonstrar todas as vantagens de usar esta linguagem em comparação com as abordagens mais mainstream é pensado um experimento de desenvolvimento de um sistema de microsserviços no âmbito de uma aplicação de e-commerce. Este sistema é construído de forma igual usando duas bases tecnológicas – Jolie e Spring Boot. O Spring Boot é considerado a tecnologia mais usada para desenvolver sistemas de microsserviços sendo o candidato ideal para comparação. É pensada toda a análise e design deste experimento. Em seguida, a implementação da solução é detalhada a partir das configurações do sistema, escolhas arquitetónicas e como elas são implementadas. Componentes como API gateway, mediadores de mensagens, bases de dados, orquestração de microsserviços, e conteinerização para cada microsserviço e outros componentes do sistema. Pol último as soluções são comparadas e analisadas com base na abordagem Goals, Questions, Metrics (GQM). São analisadas relativamente a atributos de qualidade como manutenção, escalabilidade, desempenho e testabilidade. Após esta análise pode-se concluir que a solução construída com Jolie apresenta diferenças na manutenção sendo significativamente superior à solução baseada em Spring Boot e apresenta diferenças em termos de performance sendo ligeiramente inferior à solução construída com Spring Boot. O trabalho termina com a indicação das conquistas, dificuldades, ameaças à validade, possíveis trabalhos futuros e observações finais.Microservices are increasingly present in the world of information technologies, as they provide a new way to build more scalable, agile, and flexible systems. Despite this, they bring with them the problem of communication complexity between microservices, making the system difficult to maintain and understand. Microservices-specific programming languages like Jolie come into play to try to solve this problem and simplify the construction of systems with microservices architectures. This work provides a broad view of the State of Art of the Jolie programming language, where it is first detailed why microservices-specific languages emerge and how the Jolie language is built to match microservices architectures through native resources. To demonstrate all the advantages of using this language compared to more mainstream approaches, an experiment is designed to develop a microservices system within an e-commerce application. This system is built equally using two technological foundations – Jolie and Spring Boot. Spring Boot is considered the most used technology to develop microservices systems and is an ideal candidate for comparison. The entire analysis and design of this experiment are thought through. Then the implementation of the solution is detailed from system configurations, architectural choices, and how they are implemented. Components such as API gateway, message brokers, databases, microservices orchestration, and containerization for each microservice and other components of the system. Finally, the solutions are compared and analyzed based on the Goals, Questions, Metrics (GQM) approach. They are analyzed for quality attributes such as maintainability, scalability, performance, and testability. After this analysis, it can be concluded that the solution built with Jolie presents differences in maintenance being significant superior to the solution based on Spring Boot, and it presents differences in terms of performance being slightly inferior to the solution built with Spring Boot. The work ends with an indication of the achievements, difficulties, threats to validity, possible future work, and final observations

Jolie and LEMMA: Model-Driven Engineering and Programming Languages Meet on Microservices

Part 3: Large-Scale Decentalised SystemsInternational audienceIn microservices, Model-Driven Engineering (MDE) has emerged as a powerful methodology for architectural design. Independently, the community of programming languages has investigated new linguistic abstractions for effective microservice development. Here, we present the first preliminary study of how the two approaches can crosspollinate, taking the LEMMA framework and the Jolie programming language as respective representatives. We establish a common ground for comparing the two technologies in terms of metamodels, discuss practical enhancements that can be derived from the comparison, and present some directions for future work that arise from our new viewpoint

A model-driven deployment approach for applying the performance and scalability perspective from a set of software architecture styles

Software architecture aims to satisfy software requirements from different points of view. This is represented by models, which are the reference to understand the structure and behavior of the software. Nevertheless, one of the great challenges of software engineering is to ensure that design, implementation and deployment of the software are consistent. In the same way, another challenge is to ensure that a system improves its performance when it is in a scenario of receiving many requests per unit of time. In this manner, this research work presents a proposed model-driven deployment approach which from software architecture models, automates the deployment of software systems on a cloud computing platform by means of the application of scalability tactic, specifically horizontal scaling. In addition, this work includes a traditional model-driven development process which automates the implementation of the software system to be deployed. Likewise, Sarch is designed and proposed, a domain-specific language based on the specification of a set of architectural styles and their representation as architectural views. Finally, a tool called Sarch-Studio is built, which allows writing in Sarch language and performs automatic development and deployment processes.Resumen: La arquitectura de software pretende satisfacer los requisitos de software a partir de diferentes puntos de vista. Esta es representada por medio de modelos, los cuales son la referencia para comprender la estructura y comportamiento de el software. Sin embargo, uno de los grandes retos de la ingeniería de software es asegurar que el diseño, la implementación y el despliegue del software sean consistentes. De la misma forma, otro reto es lograr que un sistema de soft- ware mejore su rendimiento cuando este se encuentra en un escenario de recepción de muchas solicitudes por unidad de tiempo. De esta manera, este trabajo de investigación presenta un enfoque de despliegue dirigido por modelos, que a partir de modelos de arquitectura de soft- ware, automatiza el despliegue de sistemas de software en una plataforma de computación en la nube, por medio de la aplicación de tácticas de escalabilidad, específicamente de la táctica de escalamiento horizontal. Además, este trabajo incluye un proceso tradicional de desarrollo dirigido por modelos, el cual automatiza la implementación de los sistemas de software a ser de- splegados. Así mismo, se diseña y se propone Sarch, un lenguaje de dominio específico basado en la especificación de un conjunto de estilos arquitectónicos y su representación como vistas arquitectónicas. Finalmente, se implementa una herramienta llamada Sarch-Studio, que permite escribir en lenguaje Sarch y es la encargada de realizar los procesos automáticos de desarrollo y despliegue.Maestrí

Incremental Integration of Microservices in Cloud Applications

Microservices have recently appeared as a new architectural style that is native to the cloud. The high availability and agility of the cloud demands organizations to migrate or design microservices, promoting the building of applications as a suite of small and cohesive services (microservices) that are independently developed, deployed and scaled. Current cloud development approaches do not support the incremental integration needed for microservice platforms, and the agility of getting new functionalities out to customers is consequently affected by the lack of support for the integration design and automation of the development and deployment tasks. This paper presents an approach for the incremental integration of microservices that will allow developers to specify and design microservice integration, and provide mechanisms with which to automatically obtain the implementation code for business logic and interoperation among microservices along with deployment and architectural reconfiguration scripts specific to the cloud environment in which the microservice will be deployed