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March 6, 2026SHILAP Revista de lepidopterologíaOpen Access

Simulation of Cloud-native Microservices-based Architecture for Power Applications

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Authors

SSS. STOJADCD. CAPKOBJB. JELACIC

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Overview

Simulation demonstrates improved scalability and performance of cloud-based power applications, suggesting enhanced grid efficiency.

Key Points

  • This research aims to transition traditional monolithic power systems to a cloud-native microservices architecture for improved scalability and reliability.
  • Analyzed existing monolithic power distribution systems.
  • Developed a cloud-native microservices framework using mathematical optimization models.
  • Conducted simulations to evaluate performance and scalability of the new architecture.
  • Simulation results showed significant improvements in scalability.
  • The microservices architecture improved fault isolation and system performance.
  • The framework effectively handled increased network complexity and concurrent client demands.

Cite This Study

STOJA et al. (2026) studied this question.

synapsesocial.com/papers/69aa6ee2531e4c4a9ff59174https://doi.org/10.4316/aece.2026.01003
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Study on the Cloud-Edge-Terminal Framework for Large Computing Models in New Power Systems2026
  2. 2Microgrid optimization & real-time control via a digital architecture for dynamic orchestration2026
  3. 3Risk-Aware Planning of Power Distribution Systems Using Scalable Cloud Technologies2025
  4. 4Cloudhive: A Cloud‐Based Framework for Smart Grid Co‐Simulation, Data, and Communication2025
  5. 5Performance Evaluation of a Cloud-Native Open-Source Power System Digital Twin for Real-Time Simulation2026