ADVANCED ARCHITECTURES FOR SCALABLE REAL-TIME SYSTEMS: BALANCING TECHNOLOGY, SECURITY, AND ETHICS
Keywords:
Scalable Real-Time Systems, Edge Computing, Federated Learning, Hybrid Cloud Architectures, Ethical AI, System Architecture, Security In Distributed Systems, Data Consistency, Predictive Analytics, Cross-Industry Integration, Operational Efficiency, Machine Learning, Data Privacy, System ReliabilityAbstract
This comprehensive article delves into the transformative landscape of scalable real-time systems by examining key trends in edge computing, federated learning, and hybrid cloud architectures. It investigates how these technologies revolutionize the manufacturing and retail sectors through enhanced data processing capabilities and operational efficiencies. The article addresses critical challenges, including system complexity, security vulnerabilities, and data consistency, while also exploring ethical considerations in AI-driven decision-making. Additionally, it evaluates opportunities in predictive analytics, cross-industry integration, and sustainable computing, offering valuable insights into future directions for system architects and decision-makers in an increasingly interconnected technological ecosystem.
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Copyright (c) 2025 Vedant Agarwal (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
