Results 101 to 110 of about 8,354 (218)
Challenges of Production Microservices
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]
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
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
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
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
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
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?
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
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
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

