5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.DC2026
Stage-Level Executor Allocation in Apache Spark with Cost-Performance Trade-offs
Miriam Rateike, Isaac Waweru Wambugu, Celia Cintas +3
Allocating executors (i.e. compute resources) to distributed processing systems must balance resource costs of scaling-out unnecessarily against artificial, performance-limiting bo…
cs.LG2020
From Time Series to Euclidean Spaces: On Spatial Transformations for Temporal Clustering
Nuno Mota Goncalves, Ioana Giurgiu, Anika Schumann
Unsupervised clustering of temporal data is both challenging and crucial in machine learning. In this paper, we show that neither traditional clustering methods, time series specif…
cs.LG2019★ 5 cited
Explainable Failure Predictions with RNN Classifiers based on Time Series Data
Ioana Giurgiu, Anika Schumann
Given key performance indicators collected with fine granularity as time series, our aim is to predict and explain failures in storage environments. Although explainable predictive…