Mark Leznik

Comprehensive Exploration of Synthetic Data Generation: A Survey

Recent years have witnessed a surge in the popularity of Machine Learning (ML), applied across diverse domains. However, progress is impeded by the scarcity of training data due to expensive...

Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field

In many areas of decision-making, forecasting is an essential pillar. Consequently, many different forecasting methods have been proposed. From our experience, recently presented forecasting...

Done Yet? A Critical Introspective of the Cloud Management Toolbox

An Event-Driven Multi Agent System for Scalable Traffic Optimization

Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS

Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads: Vision Paper

Multivariate Time Series Synthesis Using Generative Adversarial Networks

Workload Diffusion Modeling for Distributed Applications in Fog/Edge Computing Environments

Change Point Detection for MongoDB Time Series Performance Regression

SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper

Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs

Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity