Results 51 to 60 of about 18,544 (173)
GreenMicro: Identifying Microservices From Use Cases in Greenfield Development
IEEE Access, 2022 Microservices architecture is a new paradigm for developing a software system as a collection of independent services that communicate via lightweight protocols.
Deepali Bajaj, Anita Goel, S. C. Gupta
doaj +1 more source
From Crisis to Response: How Start‐Up Founders Navigate Uncertainty Through Pivoting
Strategic Change, Volume 35, Issue 2, Page 257-271, March 2026.ABSTRACT This study investigates how start‐up founders navigate uncertainty by adopting pivot strategies, emphasizing stakeholders' active role in shaping these entrepreneurial decisions. Drawing on entrepreneurial action theory and the concept of second‐person opportunities, we propose a three‐stage conceptual framework (social interaction and second ...
Enrico Giansoldati +3 more
wiley +1 more source
Tongxin xuebao, 2023 Aiming at the problem that it is hard for security defense strategies in cloud native to guarantee the quality of service under dynamic requests, a multidimensional dynamic defense strategy for microservice based on deep reinforcement learning, named ...
Dacheng ZHOU +4 more
doaj +2 more sources
IEEE AccessThe rise of microservice architectures has further evolved software development practices, building upon the foundation established by web services in breaking down monolithic systems, while offering more finely detailed, coherent, and loosely ...
Idris Oumoussa, Rajaa Saidi
doaj +1 more source
A Model-Driven Architecture for Automated Deployment of Microservices
Applied Sciences, 2021 Microservice architecture consists of a collection of loosely coupled, self-contained services that can be deployed independently. Given the limited capacity of the resources for a large number of services, the deployment of the services does not scale ...
Isil Karabey Aksakalli +3 more
doaj +1 more source
Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review
WIREs 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
Cohesion Metrics for Microservices
IEEE AccessSoftware development requires new technologies, such as service-oriented architectures, that resolve quality problems such as maintenance and costs, which promote improvements in software development.
C. Rojas-Perez Juan +2 more
doaj +1 more source
Generative AI for Requirements Engineering: A Systematic Literature Review
Software: Practice and Experience, Volume 56, Issue 2, Page 141-170, February 2026.ABSTRACT Introduction Requirements engineering (RE) faces challenges due to the handling of increasingly complex software systems. These challenges can be addressed using generative artificial intelligence (GenAI). Given that GenAI‐based RE has not been systematically analyzed in detail, this review examines the related research, focusing on trends ...
Haowei Cheng +6 more
wiley +1 more source
Applied Sciences, 2022 Cloud computing is a rapidly growing paradigm which has evolved from having a monolithic to microservices architecture. The importance of cloud data centers has expanded dramatically in the previous decade, and they are now regarded as the backbone of ...
Abdul Saboor +6 more
doaj +1 more source
Microservices and Machine Learning Algorithms for Adaptive Green Buildings [PDF]
, 2019 In recent years, the use of services for Open Systems development has consolidated and strengthened. Advances in the Service Science and Engineering (SSE) community, promoted by the reinforcement of Web Services and Semantic Web technologies and the ...
Alonso Montesinos, Joaquín Blas +6 more
core +1 more source