Results 51 to 60 of about 20,635 (205)
Microservices Evolution Factors: A Multivocal Literature Review
Microservices is a software architectural approach based on decomposing systems into small services that are simpler and technology-independent for their development and operation.
Sebastian Pinto-Aguero, Rene Noel
doaj +1 more source
Accumulation and Prioritization of Architectural Debt in Three Companies Migrating to Microservices
Many companies migrate to microservices because they help deliver value to customers quickly and continuously. However, like any architectural style, microservices are prone to architectural technical debt (ATD), which can be costly if the debts are not ...
Saulo Soares De Toledo +3 more
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Application of microservices patterns to big data systems
The panorama of data is ever evolving, and big data has emerged to become one of the most hyped terms in the industry. Today, users are the perpetual producers of data that if gleaned and crunched, have the potential to reveal game-changing patterns ...
Pouya Ataei, D. Staegemann
semanticscholar +1 more source
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
Local, Global, and Saga Transactions for SOA Services and Microservices (∗Services)
Transactions are a key issue in enterprise applications. Considering SOA and microservices as some of the most prevalent solutions for enterprise applications, transaction management differs significantly between these two solutions.
Antonio Navarro
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GreenMicro: Identifying Microservices From Use Cases in Greenfield Development
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
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Generative AI for Requirements Engineering: A Systematic Literature Review
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
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
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A Model-Driven Architecture for Automated Deployment of Microservices
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
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AI‐Based Non‐Invasive Continuous Blood Pressure Monitoring and Estimation System
An AI‐based biosensor pipeline integrates Apple Watch electrocardiogram (ECG), a custom digital stethoscope, and a blood‐pressure cuff to generate and validate 24‐hour cuffless blood‐pressure waveform prediction. Using a wavelet‐preprocessed ECG and a long short‐term memory model trained on MIMIC‐II and Autonomic Aging datasets, the system estimates ...
Barrett L. Burgess +8 more
wiley +1 more source

