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Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm.

, and . IM, page 1222-1228. IEEE, (2017)

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Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm., and . IM, page 1222-1228. IEEE, (2017)Lameness Detection as a Service: Application of Machine Learning to an Internet of Cattle., , , and . CCNC, page 1-6. IEEE, (2019)A Deep Neural Network-Based Multi-Label Classifier for SLA Violation Prediction in a Latency Sensitive NFV Application., , and . IEEE Open J. Commun. Soc., (2021)Methodical Analysis of a Fog Computing Assisted Animal-Welfare Software System in a Real-World Smart Dairy Farm IoT Deployment., , , and . WF-IoT, page 857-864. IEEE, (2021)DARAC: DDoS Mitigation Using DDoS Aware Resource Allocation in Cloud., , , , , and . ICISS, volume 9478 of Lecture Notes in Computer Science, page 263-282. Springer, (2015)Poster Abstract: Resource Aware Placement of Data Stream Analytics Operators on Fog Infrastructure for Internet of Things Applications., and . SEC, page 113-114. IEEE Computer Society, (2016)A Residual LSTM based Multi-Label Classification Framework for Proactive SLA Management in a Latency Critical NFV Application Use-Case., , , and . CCNC, page 782-789. IEEE, (2022)Towards Building a Data-Driven Framework for Climate Neutral Smart Dairy Farming Practices., , and . GHTC, page 213-218. IEEE, (2021)Resource Aware Placement of Data Analytics Platform in Fog Computing., and . Cloud Forward, volume 97 of Procedia Computer Science, page 153-156. Elsevier, (2016)FoodForce2: Revolutionizing education., , and . T4E, page 99-104. IEEE Computer Society, (2009)