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Perspectives On Machine Learning Inference Serving in Real‐World Settings
Software: Practice and Experience, Volume 56, Issue 6, Page 734-757, June 2026.ABSTRACT Introduction As machine learning (ML)‐enabled systems become increasingly prevalent across industries, the engineering challenges of deploying and maintaining them in production have emerged as critical. The existing engineering knowledge base often derives from conceptual frameworks or case studies conducted by large technology companies ...
Dennis Muiruri +3 more
wiley +1 more source
Information Systems Journal, Volume 36, Issue 3, Page 315-339, May 2026.ABSTRACT Artificial intelligence (AI) brings great potential for manufacturers, but clashes with the established culture due to the unexplainable and opaque nature of the solutions it provides. Having little experience in AI and machine learning (ML), most manufacturing leaders experience barriers implementing AI.
Benjamin van Giffen +5 more
wiley +1 more source
Microservice architecture for agile integration
, 2022 U ovom radu želi se pokazati kako trenutni industrijski trendovi u arhitekturi poduzeća ukazuju prelazak sa monolitne arhitekture na mikroservisnu arhitekturu.
Rubelj, Marta
core
Simulation of Cloud-native Microservices-based Architecture for Power Applications
Advances in Electrical and Computer EngineeringThe modernization of power distribution grids through the adoption of microservice architecture significantly enhances the availability, reliability, and scalability required by diverse consumers, including households and industries.
STOJA, S. +4 more
doaj +1 more source
Engineering Reports, Volume 8, Issue 4, April 2026.A dynamic prediction of deformation of irregular aluminum plate curtain wall structure in the gymnasium is proposed. This method can accurately predict the deformation values of each node in the curtain wall structure, thereby identifying the main nodes that cause the instability of the curtain wall structure.
Jianming Jin +3 more
wiley +1 more source
LMGD: Log-Metric Combined Microservice Anomaly Detection Through Graph-Based Deep Learning
IEEE AccessMicroservice architecture is a high-cohesion and low-coupling software architecture. Its core idea is to split the application into a set of microservices with a single function and independent deployment.
Xu Liu +3 more
doaj +1 more source
Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2017 A smart city is a term thatis often used in a literature that refers to a city's intelligence. The visions of smart city are to utilizeits community resources, improving the quality of its services, and reducing the costs for public administration ...
Hatma Suryotrisongko +1 more
doaj +1 more source
Access Control in Healthcare IoT: A Comprehensive Survey
Engineering Reports, Volume 8, Issue 4, April 2026.This survey analyses access control mechanisms in Healthcare IoT, reviewing traditional and emerging models, identifying security and privacy challenges, and highlighting open research issues. It provides a comparative perspective to support the design of secure, scalable, and patient‐centric healthcare IoT systems.
Aleena Nazir +3 more
wiley +1 more source
Contextual understanding of microservice architecture
, 2018 Current industry trends in enterprise architectures indicate movement from Service-Oriented Architecture (SOA) to Microservices. By understanding the key differences between these two approaches and their features, we can design a more effective ...
Tomas Cerny +2 more
core +1 more source
AI Magazine, Volume 47, Issue 1, Spring 2026.Abstract For more than a decade, scientists have been striving to make their datasets available in open repositories, with the goal that they be findable, accessible, interoperable, and reusable (FAIR). Although it is hard for most investigators to remember all the “guiding principles” associated with FAIR data, there is one overarching requirement ...
Mark A. Musen +3 more
wiley +1 more source