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Found 5 papers, 2 papers with code
Towards Pareto Optimal Throughput in Small Language Model Serving
Large language models (LLMs) have revolutionized the state-of-the-art of many different natural language processing tasks.
Towards Automatic Model Specialization for Edge Video Analytics
In this paper, we present and evaluate COVA (Contextually Optimized Video Analytics), a framework to assist in the automatic specialization of models for video analytics in edge cameras.
Improving Maritime Traffic Emission Estimations on Missing Data with CRBMs
Unfortunately, these models are sensitive to missing or corrupted data, and therefore they need data curation techniques to significantly improve the estimation accuracy.
ALOJA: A Framework for Benchmarking and Predictive Analytics in Big Data Deployments
This article presents the ALOJA project and its analytics tools, which leverages machine learning to interpret Big Data benchmark performance data and tuning.
ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments
Hadoop presents a complex execution environment, where costs and performance depends on a large number of software (SW) configurations and on multiple hardware (HW) deployment choices.
