逐步将单体迁移到微服务架构:性能和迁移工作量评估

IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Performance Evaluation Pub Date : 2024-03-12 DOI:10.1016/j.peva.2024.102411
Diogo Faustino , Nuno Gonçalves , Manuel Portela , António Rito Silva
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引用次数: 0

摘要

由于对可扩展性的要求以及大型软件开发项目被拆分为小型敏捷团队,目前的趋势是将单体系统迁移到微服务架构。然而,将单体拆分为微服务、通过定义明确的接口对其进行封装以及引入微服务间通信都会在性能方面增加成本。在本文中,我们介绍了一个将单体迁移到微服务架构的案例研究,其中使用了模块化单体架构作为中间步骤。我们测量了这两个步骤对迁移工作量和性能的影响。目前最先进的分析方法是将单体系统迁移到微服务架构,但我们注意到,在向模块化单体迁移的过程中,迁移工作量和性能问题已经非常严重。因此,我们对每个步骤进行了明确区分,这可以为软件架构师规划单体系统迁移提供参考。特别是,我们考虑了进行所有迁移过程或仅迁移到模块化单体的利弊权衡。
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Stepwise migration of a monolith to a microservice architecture: Performance and migration effort evaluation

Due to scalability requirements and the split of large software development projects into small agile teams, there is a current trend toward the migration of monolith systems to the microservice architecture. However, the split of the monolith into microservices, its encapsulation through well-defined interfaces, and the introduction of inter-microservice communication add a cost in terms of performance. In this paper, we describe a case study of the migration of a monolith to a microservice architecture, where a modular monolith architecture is used as an intermediate step. The impact on migration effort and performance is measured for both steps. Current state-of-the-art analyses the migration of monolith systems to a microservice architecture, but we observed that migration effort and performance issues are already significant in the migration to a modular monolith. Therefore, a clear distinction is established for each of the steps, which may inform software architects on the planning of the migration of monolith systems. In particular, we consider the trade-offs of doing all the migration process or just migrating to a modular monolith.

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来源期刊
Performance Evaluation
Performance Evaluation 工程技术-计算机:理论方法
CiteScore
3.10
自引率
0.00%
发文量
20
审稿时长
24 days
期刊介绍: Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions: -Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques -Provide new insights into the performance of computing and communication systems -Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools. More specifically, common application areas of interest include the performance of: -Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management) -System architecture, design and implementation -Cognitive radio -VANETs -Social networks and media -Energy efficient ICT -Energy harvesting -Data centers -Data centric networks -System reliability -System tuning and capacity planning -Wireless and sensor networks -Autonomic and self-organizing systems -Embedded systems -Network science
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