Exploring emergent microservice evolution in elastic deployment environments

IF 3.7 2区计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Journal of Systems and Software Pub Date : 2024-10-10 DOI:10.1016/j.jss.2024.112252

Roberto Rodrigues-Filho , Iwens Sene Jr. , Barry Porter , Luiz F. Bittencourt , Fabio Kon , Fábio M. Costa

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Abstract

Microservices have become an important technology to enable the dynamic composition of large-scale self-adaptive systems. Although modern microservice ecosystems provide a variety of autonomous adaptation mechanisms, when focusing on the microservice itself, they can only account for changes in the sheer increase in workload volume. On the other hand, when workload patterns change, efficient treatment requires the intervention of DevOps experts to manually evolve the internal architecture of services. Given the need to quickly adapt systems to respond to changes, solely relying on DevOps to react to workload pattern changes becomes a bottleneck for future systems. To address this issue, we advance the concept of emergent microservices, that autonomously adapt and evolve their internal architectural composition to better handle changes in the pattern of incoming requests without human intervention. We demonstrate the effectiveness of our approach by exploring this novel concept in the context of a microservice-based Smart City platform.

Editor’s note: Open Science material was validated by the Journal of Systems and Software Open Science Board.

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探索弹性部署环境中的新兴微服务演化

微服务已成为实现大规模自适应系统动态组合的一项重要技术。虽然现代微服务生态系统提供了各种自主适应机制，但如果只关注微服务本身，它们只能应对纯粹工作量增加带来的变化。另一方面，当工作负载模式发生变化时，有效的处理方法需要 DevOps 专家的干预，以手动演进服务的内部架构。鉴于需要快速调整系统以应对变化，仅仅依靠 DevOps 来应对工作负载模式的变化会成为未来系统的瓶颈。为了解决这个问题，我们提出了新兴微服务的概念，即在没有人工干预的情况下，自主调整和演进其内部架构组成，以更好地处理传入请求模式的变化。我们在基于微服务的智慧城市平台中探索了这一新颖概念，从而证明了我们的方法的有效性。编者注：开放科学材料已通过《系统与软件》杂志开放科学委员会的验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Systems and Software 工程技术-计算机：理论方法

CiteScore

8.60

自引率

5.70%

发文量

193

审稿时长

16 weeks

期刊介绍： The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to: •Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution •Agile, model-driven, service-oriented, open source and global software development •Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems •Human factors and management concerns of software development •Data management and big data issues of software systems •Metrics and evaluation, data mining of software development resources •Business and economic aspects of software development processes The journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.