Results 101 to 110 of about 8,354 (218)

Challenges of Production Microservices

open access: yesProcedia CIRP, 2018
Abstract Current production systems use monolithic software solutions. This causes a lack of flexibility, scalability and prevents direct communication between network nodes which is fundamental to face challenges of highly personalized mass production.
Götz, Benjamin   +5 more
openaire   +1 more source

Microservices Science and Engineering [PDF]

open access: yes, 2018
In this paper we offer an overview on the topic of Microservices Science and Engineering (MSE) and we provide a collection of bibliographic references and links relevant to understand an emerging field. We try to clarify some misunderstandings related to microservices and Service-Oriented Architectures, and we also describe projects and applications ...
Manuel Mazzara   +5 more
openaire   +2 more sources

Identifying microservices using structured system analysis

open access: yes, 2020
In this article it will be presented how to identify microservices using structured system analysis. Structured system analysis describes all the system functions, data stores and algorithms of the functions.
Tatjana D. Stojanovic   +7 more
core   +1 more source

Observability in Microservices: An In-Depth Exploration of Frameworks, Challenges, and Deployment Paradigms

open access: yesIEEE Access
The widespread adoption of microservices-based architectures in native cloud systems has amplified the need for robust observability strategies to ensure system reliability and performance.
Ummay Faseeha   +4 more
doaj   +1 more source

IMPACT Framework: Establishing Global Standards for Artificial Intelligence Implementation, Methodology, and Translation in Drug Discovery

open access: yesWIREs Computational Molecular Science, Volume 16, Issue 2, March/April 2026.
The IMPACT framework defines six pillars for standardizing AI in drug discovery: Implementation, Methodology, Productivity, Assessment, Collaboration and Translation. It provides a unified structure to improve data quality, reproducibility, benchmarking, interdisciplinary integration, and clinical translation, enabling trustworthy and actionable ...
Amit Gangwal, Antonio Lavecchia
wiley   +1 more source

Performance Engineering for Microservices

open access: yes, 2017
Microservices complement approaches like DevOps and continuous delivery in terms of software architecture. Along with this architectural style, several important deployment technologies, such as container-based virtualization and container orchestration ...
Lwakatare, Lucy Ellen   +15 more
core   +1 more source

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool   +7 more
wiley   +1 more source

In Microservices We Trust — Do Microservices Solve Resilience Challenges?

open access: yes, 2019
Resilience is an open challenge. In this paper we look into microservices – a concept that argues to be resilient. We look into the definition of microservices and argue whether the definition provides the promised advantages regarding to ...
Hilbrich, Marcus
core   +1 more source

Java frameworks to build microservices

open access: yes, 2023
Maģistra darba teorētiskajā daļā tiek apskatīts mikropakalpju jēdziens, mikropakalpju arhitektūra un izveides pamatprincipi, kā arī mikropakalpju izstrādes šabloni. Mikropakalpju izpēte tiek veikta programmēšanas valodas Java kontekstā.
Pavļenko, Maksims
core  

Access Control with Delegated Authorization Policy Evaluation for Data-Driven Microservice Workflows

open access: yesFuture Internet, 2017
Microservices offer a compelling competitive advantage for building data flow systems as a choreography of self-contained data endpoints that each implement a specific data processing functionality.
Davy Preuveneers, Wouter Joosen
doaj   +1 more source

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