Microservices: Design, Programming, and Operations
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 1764
Special Issue Editors
Interests: cloud-edge continuum; software engineering; microservices; cybersecurity; green computing; automated reasoning
Interests: empirical software engineering; software quality; maintenance and evolution
Interests: code-analysis; distributed systems
Special Issues, Collections and Topics in MDPI journals
Interests: microservices; cloud-native; service-oriented architectures; deployment automation; distributed systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Microservices are being increasingly adopted in enterprise IT, as many large companies have embraced these architectures to deliver software services to their users. Microservices constitute an alternative to traditional software architectures and offer several advantages, such as enhanced adaptability, scalability, and resilience to failures. Furthermore, microservices facilitate expedited and more streamlined development processes, while promoting cross-collaboration among DevOps teams. As the technological landscape evolves and grows more intricate, the significance of microservices in constructing scalable and efficient applications is evident.
This Special Issue will collect extended contributions from the 5th International Conference on Microservices (MICROSERVICES 2023), Pisa, October 10-12, 2023, and is open to spontaneous original contributions from researchers and practitioners worldwide.
Topics of interests include, but are not limited to, the following:
- Software engineering methods for microservices, specifically (but not limited to) agile service design practices, behavior- and domain-driven design;
- Formal models for microservices;
- Programming languages, notations, and techniques for microservices;
- Verification (both static and runtime) of microservice systems;
- Testing for microservices: unit tests, system tests, acceptance and regression tests, test-driven service development;
- DevOps for microservices, in particular (but not limited to) continuous deployment and distributed monitoring;
- Microservices in the context of development, security, and operations (DevSecOps);
- Secure by design in the context of microservices;
- Microservice operation and contributor analysis;
- Microservice management: fault, configuration, accounting/cost, performance, security;
- Co-change and change impact analysis;
- Discovery/recovery and reverse engineering of microservices solutions;
- Microservice evolution;
- Global governance for microservices;
- Methodologies for identification, specification, and realization of candidate services;
- Patterns for cloud-native application architectures; service API design and management;
- Microservices infrastructure components: API gateways, side cars, and service meshes; reactive messaging brokers; service registries; service containers and cluster managers; infrastructure as code;
- Function-as-a-service and serverless cloud offerings; service-based event sourcing and data streaming architectures;
- Microservice architectures for the cloud-edge computing continuum;
- Security and other service quality concerns (consistency, availability, recoverability) in microservices; dealing with General Data Protection Regulation (GDPR) compliance and other data privacy requirements;
- testing for microservices: unit tests, system tests, acceptance and regression tests, test-driven service development;
- Internet technologies: services, human interactions, data analytics and AI for IoT, architecture things centric, sensor networks, security, privacy, applications;
- AI and microservices (including datasets, open-source technology);
- Cyber-physical systems: AI/ML applications, security;
- Industrial case studies and applications: data science/big data, smart industry, healthcare, government, manufacturing, logistics and supply chain management;
- Empirical studies of microservices adoption;
- Case studies and surveys on the topic of microservices;
- Sustainable practices in the microservices community;
- Education about microservices technologies.
Dr. Stefano Forti
Dr. Valentina Lenarduzzi
Dr. Tomas Cerny
Dr. Jacopo Soldani
Prof. Dr. Antonio Brogi
Guest Editors
Manuscript Submission Information
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Keywords
- microservice-based architectures
- software and its engineering
- application management
- DevOps
- microservices security
- AI
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