Mark Leznik
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View article: Comprehensive Exploration of Synthetic Data Generation: A Survey
Comprehensive Exploration of Synthetic Data Generation: A Survey Open
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 acquisition and privacy legislation. Synthetic d…
View article: Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field
Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field Open
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 methods are computationally intensive, poorly au…
View article: Same, Same, but Dissimilar
Same, Same, but Dissimilar Open
Benchmarking is a core element in the toolbox of most systems researchers and is used for analyzing, comparing, and validating complex systems. In the quest for reliable benchmark results, a consensus has formed that a significant experime…
View article: [SoK] The Great GAN Bake Off, An Extensive Systematic Evaluation of Generative Adversarial Network Architectures for Time Series Synthesis
[SoK] The Great GAN Bake Off, An Extensive Systematic Evaluation of Generative Adversarial Network Architectures for Time Series Synthesis Open
There is no standard approach to compare the success ofdifferent neural network architectures utilized for time seriessynthesis. This hinders the evaluation and decision process,as to which architecture should be leveraged for an unknownda…
View article: Correction to: An Event-Driven Multi Agent System for Scalable Traffic Optimization
Correction to: An Event-Driven Multi Agent System for Scalable Traffic Optimization Open
“An Event-Driven Multi Agent System for Scalable Traffic Optimization” was previously published non-open access. It has now been changed to open access under a CC BY 4.0 license and the copyright holder updated to ‘The Author(s)’. The book…
View article: Multivariate Time Series Synthesis Using Generative Adversarial Networks
Multivariate Time Series Synthesis Using Generative Adversarial Networks Open
Collection and analysis of distributed (cloud) computing workloads allows for a deeper understanding of user and system behavior and is necessary for efficient operation of infrastructures and applications. The availability of such workloa…
View article: Data Sets for Measuring and Modeling the Performance Configurations of Distributed DBMS
Data Sets for Measuring and Modeling the Performance Configurations of Distributed DBMS Open
These data sets contain the performance measurements and additional metadata as accompanying material for the research paper Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS that is published in the Symposiu…
View article: Data Sets for Measuring and Modeling the Performance Configurations of Distributed DBMS
Data Sets for Measuring and Modeling the Performance Configurations of Distributed DBMS Open
These data sets contain the performance measurements and additional metadata as accompanying material for the research paper Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS that is published in the Symposiu…
View article: Workload Diffusion Modeling for Distributed Applications in Fog/Edge Computing Environments
Workload Diffusion Modeling for Distributed Applications in Fog/Edge Computing Environments Open
This paper addresses the problem of workload generation for distributed applications in fog/edge computing. Unlike most existing work that tends to generate workload data for individual network nodes using historical data from the targeted…
View article: Measuring and Modeling the Performance Configurations of Distributed Database Systems
Measuring and Modeling the Performance Configurations of Distributed Database Systems Open
Correctly configuring a distributed database management system (DBMS) deployed in a cloud environment for maximizing performance poses many challenges to operators. Even if the entire configuration spectrum could be measured directly, whic…
View article: RECAP Data Acquisition and Analytics Methodology
RECAP Data Acquisition and Analytics Methodology Open
The collection, analysis, and processing of infrastructure information and telemetry data lie at the very heart of RECAP. This chapter describes the infrastructure for the acquisition and processing of data from applications and systems, a…
View article: An Event-Driven Multi Agent System for Scalable Traffic Optimization
An Event-Driven Multi Agent System for Scalable Traffic Optimization Open
Global demand for mobility will grow from 44 trillion to 122 trillion passenger-kilometres by 2050, and freight demand will triple in that time increasing traffic emissions by 60%. With current innovation and policy measures we are ‘on cou…
View article: Towards an Architecture for Reliable Capacity Provisioning for Distributed Clouds
Towards an Architecture for Reliable Capacity Provisioning for Distributed Clouds Open
The complexity of computing along the cloud-to-edge continuum presents significant challenges to ICT operations and in particular reliable capacity planning and resource provisioning to meet unpredictable, fluctuating, and mobile demand. T…
View article: RECAP Artificial Data Traces
RECAP Artificial Data Traces Open
The objective of the work package "Data Collection, Visualization and Analysis" of RECAP is to provide the necessary tools for managing and refining the data needed for the rest of the work packages. This includes the collection as well as…
View article: RECAP Artificial Data Traces
RECAP Artificial Data Traces Open
The objective of the work package "Data Collection, Visualization and Analysis" of RECAP is to provide the necessary tools for managing and refining the data needed for the rest of the work packages. This includes the collection as well as…
View article: Unified Container Environments for Scientific Cluster Scenarios
Unified Container Environments for Scientific Cluster Scenarios Open
Providing runtime dependencies for computational workflows in shared environments, like HPC clusters, requires appropriate management efforts from users and administrators. Users of a cluster define the software stack required for a workfl…
View article: Done Yet? A Critical Introspective of the Cloud Management Toolbox
Done Yet? A Critical Introspective of the Cloud Management Toolbox Open
With the rapid rise of the cloud computing paradigm, the manual maintenance and provisioning of the technological layers behind it, both in their hardware and virtualized form, became cumbersome and error- prone. This has opened up the nee…