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Exploratory Study of oneM2M-Based Interoperability Architectures for IoT: A Smart City Perspective.

, , , , , , и . ICSA-C, стр. 16-23. IEEE, (2024)

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Karthik Arumugam

Karthik Gururaj

Karthik Narasimhan

Karthik Baddam

Karthik Balakrishnan

 

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Data-driven Adaptation in Microservice-based IoT Architectures., , и . ICSA Companion, стр. 59-62. IEEE, (2020)Agile4MLS - Leveraging Agile Practices for Developing Machine Learning-Enabled Systems: An Industrial Experience., , , и . IEEE Softw., 39 (6): 43-50 (2022)HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps., , , и . CoRR, (мая 2025)Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching., , и . ASE, стр. 1721-1725. IEEE, (2023)ML-enabled Service Discovery for Microservice Architecture: a QoS Approach., , , и . SAC, стр. 1193-1200. ACM, (2024)Can LLMs Generate Architectural Design Decisions? - An Exploratory Empirical Study., , и . ICSA, стр. 79-89. IEEE, (2024)A User-driven Adaptation Approach for Microservice-based IoT Applications., , и . IOT, стр. 48-56. ACM, (2021)FEAST: a framework for evaluating implementation architectures of self-adaptive IoT systems., , и . SAC, стр. 1440-1447. ACM, (2022)Leveraging Generative AI for Architecture Knowledge Management., , и . ICSA-C, стр. 163-166. IEEE, (2024)Towards Architecting Sustainable MLOps: A Self-Adaptation Approach., , , и . ICSA-C, стр. 179-182. IEEE, (2024)