André Luckow

Orcid: 0000-0002-1225-4062

According to our database1, André Luckow authored at least 57 papers between 2006 and 2023.

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Bibliography

2023
A Conceptual Architecture for a Quantum-HPC Middleware.
Proceedings of the IEEE International Conference on Quantum Software, 2023

Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Enhancing Complex Image Synthesis with Conditional Generative Models and Rule Extraction.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
Revealing the landscape of privacy-enhancing technologies in the context of data markets for the IoT: A systematic literature review.
J. Netw. Comput. Appl., 2022

Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms.
CoRR, 2022

QUARK: A Framework for Quantum Computing Application Benchmarking.
CoRR, 2022

An in-depth investigation of the performance characteristics of Hyperledger Fabric.
Comput. Ind. Eng., 2022

CRGC: A Practical Framework for Constructing Reusable Garbled Circuits.
Proceedings of the 19th International Conference on Security and Cryptography, 2022

QUARK: A Framework for Quantum Computing Application Benchmarking.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

2021
Quantum Computing: Towards Industry Reference Problems.
CoRR, 2021

Token Economy.
Bus. Inf. Syst. Eng., 2021

Pilot-Edge: Distributed Resource Management Along the Edge-to-Cloud Continuum.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Exploring Task Placement for Edge-to-Cloud Applications using Emulation.
Proceedings of the 5th IEEE International Conference on Fog and Edge Computing, 2021

The DLPS: A New Framework for Benchmarking Blockchains.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Exploring privacy-enhancing technologies in the automotive value chain.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Deployment of a cloud pipeline for real-time visual inspection using fast streaming high-definition images.
Softw. Pract. Exp., 2020

Methods and Experiences for Developing Abstractions for Data-intensive, Scientific Applications.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Privacy-preserving Blockchain-based Systems for Car Sharing Leveraging Zero-Knowledge Protocols.
Proceedings of the 2nd IEEE International Conference on Decentralized Applications and Infrastructures, 2020

2019
PartChain: A Decentralized Traceability Application for Multi-Tier Supply Chain Networks in the Automotive Industry.
Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures, 2019

Toward a Decentralized Marketplace for Self-Maintaining Machines.
Proceedings of the IEEE International Conference on Blockchain, 2019

EdgeInsight: Characterizing and Modeling the Performance of Machine Learning Inference on the Edge and Cloud.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Performance Characterization and Modeling of Serverless and HPC Streaming Applications.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
A Distributed Message Delivery Infrastructure for Connected Vehicle Technology Applications.
IEEE Trans. Intell. Transp. Syst., 2018

Task-parallel Analysis of Molecular Dynamics Trajectories.
CoRR, 2018

Task-parallel Analysis of Molecular Dynamics Trajectories.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Pilot-Streaming: A Stream Processing Framework for High-Performance Computing.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

Evaluation of Highly Available Cloud Streaming Systems for Performance and Price.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

Performance and Memory Trade-offs of Deep Learning Object Detection in Fast Streaming High-Definition Images.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure.
Concurr. Comput. Pract. Exp., 2017

Algebraic multigrid support vector machines.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Representativeness of latent dirichlet allocation topics estimated from data samples with application to common crawl.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Optimal scheduling of autonomous vehicle arrivals at intelligent intersections via MILP.
Proceedings of the 2017 American Control Conference, 2017

2016
Hadoop on HPC: Integrating Hadoop and Pilot-Based Dynamic Resource Management.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Deep learning in the automotive industry: Applications and tools.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Pilot-Data: An abstraction for distributed data.
J. Parallel Distributed Comput., 2015

Pilot-Abstraction: A Valid Abstraction for Data-Intensive Applications on HPC, Hadoop and Cloud Infrastructures?
CoRR, 2015

Evaluating R-Based Big Data Analytic Frameworks.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

HPC-ABDS High Performance Computing Enhanced Apache Big Data Stack.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

Automotive big data: Applications, workloads and infrastructures.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Towards a Comprehensive Set of Big Data Benchmarks.
Proceedings of the Big Data and High Performance Computing, 2014

Synthetic data generation for the internet of things.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2013
Pilot-Data: An Abstraction for Distributed Data
CoRR, 2013

Exploring Dynamic Enactment of Scientific Workflows Using Pilot-Abstractions.
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2012
Advance Reservation-based Computational Resource Brokering using Earliest Start Time Estimation.
J. Comput., 2012

Towards a common model for pilot-jobs.
Proceedings of the 21st International Symposium on High-Performance Parallel and Distributed Computing, 2012

P∗: A model of pilot-abstractions.
Proceedings of the 8th IEEE International Conference on E-Science, 2012

2010
Earliest Start Time Estimation for Advance Reservation-Based Resource Brokering within Computational Grids.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2010

Abstractions for Loosely-Coupled and Ensemble-Based Simulations on Azure.
Proceedings of the Cloud Computing, Second International Conference, 2010

SAGA BigJob: An Extensible and Interoperable Pilot-Job Abstraction for Distributed Applications and Systems.
Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010

2009
A dependable middleware for enhancing the fault tolerance of distributed computations in grid environments.
PhD thesis, 2009

2008
Migol: A fault-tolerant service framework for MPI applications in the grid.
Future Gener. Comput. Syst., 2008

Adaptive Checkpoint Replication for Supporting the Fault Tolerance of Applications in the Grid.
Proceedings of The Seventh IEEE International Symposium on Networking Computing and Applications, 2008

Service replication in Grids: Ensuring consistency in a dynamic, failure-prone environment.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Distributed Replica-Exchange Simulations on Production Environments Using SAGA and Migol.
Proceedings of the Fourth International Conference on e-Science, 2008

2006
Grid Security for Fault Tolerant Grid Applications.
Proceedings of the ISCA 19th International Conference on Parallel and Distributed Computing Systems, 2006


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