Building, deploying, and monitoring distributed applications with Eclipse and R-OSGI. - Jan S. Rellermeyer; Gustavo Alonso; Timothy Roscoe (ETX, 2007)

Concierge: a service platform for resource-constrained devices. - Jan S. Rellermeyer; Gustavo Alonso (EuroSys, 2007)

Demo: A Generic Platform for Sensor Network Applications. - René Müller 001; Jan S. Rellermeyer; Michael Duller; Gustavo Alonso (MASS, 2007)

R-OSGi: Distributed Applications Through Software Modularization. - Jan S. Rellermeyer; Gustavo Alonso; Timothy Roscoe (Middleware, 2007)

Ready for distribution?: turning modular into distributed applications with the R-OSGi deployment tool. - Jan S. Rellermeyer; Gustavo Alonso; Timothy Roscoe (OOPSLA Companion, 2007)

A dynamic and flexible sensor network platform. - René Müller 001; Jan S. Rellermeyer; Michael Duller; Gustavo Alonso; Donald Kossmann (SIGMOD Conference, 2007)

Consistently Applying Updates to Compositions of Distributed OSGi Modules. - Jan S. Rellermeyer; Michael Duller; Gustavo Alonso (HotSWUp, 2008)

The Software Fabric for the Internet of Things. - Jan S. Rellermeyer; Michael Duller; Ken Gilmer; Damianos Maragkos; Dimitrios Papageorgiou; Gustavo Alonso (IOT, 2008)

AlfredO: An Architecture for Flexible Interaction with Electronic Devices. - Jan S. Rellermeyer; Oriana Riva; Gustavo Alonso (Middleware, 2008)

Virtualizing Stream Processing. - Michael Duller; Jan S. Rellermeyer; Gustavo Alonso; Nesime Tatbul (Middleware, 2011)

Co-managing Software and Hardware Modules through the Juggle Middleware. - Jan S. Rellermeyer; Ramon Küpfer (Middleware, 2011)

Modularity as a systems design principle. - Jan S. Rellermeyer (2011)

An empirical study of the robustness of Inter-component Communication in Android. - Amiya Kumar Maji; Fahad A. Arshad; Saurabh Bagchi; Jan S. Rellermeyer (DSN, 2012)

Dependability as a cloud service - a modular approach. - Jan S. Rellermeyer; Saurabh Bagchi (DSN Workshops, 2012)

System Management with IBM Mobile Systems Remote: A Question of Power and Scale. - Jan S. Rellermeyer; Thomas H. Osiecki; Ernest A. Holloway; Patrick J. Bohrer; Michael Kistler (MDM, 2012)

Cloud platforms and embedded computing: the operating systems of the future. - Jan S. Rellermeyer; Seong-Won Lee; Michael Kistler (DAC, 2013)

Lilliput meets brobdingnagian: Data center systems management through mobile devices. - Saurabh Bagchi; Fahad A. Arshad; Jan S. Rellermeyer; Thomas H. Osiecki; Michael Kistler; Ahmed Gheith (DSN, 2013)

ETX'14: 2014 workshop on eclipse technology exchange. - Jan S. Rellermeyer; Tim Verbelen (SPLASH (Companion Volume), 2014)

Container Density Improvements with Dynamic Memory Extension using NAND Flash. - Jan S. Rellermeyer; Maher Amer; Richard Smutzer; Karthick Rajamani (APSys, 2018)

MAVIS: Managing Datacenters using Smartphones. - Raghav Shankar; Benjamin Kobin; Saurabh Bagchi; Michael Kistler; Jan S. Rellermeyer (CoRR, 2018)

IoT Resource-aware Orchestration Framework for Edge Computing. - Niket Agrawal; Jan S. Rellermeyer; Aaron Yi Ding (CoNEXT Companion, 2019)

The Coming Age of Pervasive Data Processing. - Jan S. Rellermeyer; Sobhan Omranian Khorasani; Dan Graur; Apourva Parthasarathy (ISPDC, 2019)

Self-adaptive Executors for Big Data Processing. - Sobhan Omranian Khorasani; Jan S. Rellermeyer; Dick H. J. Epema (Middleware, 2019)

Is Big Data Performance Reproducible in Modern Cloud Networks? - Alexandru Uta; Alexandru Custura; Dmitry Duplyakin; Ivo Jimenez; Jan S. Rellermeyer; Carlos Maltzahn; Robert Ricci; Alexandru Iosup (NSDI, 2020)

SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition. - Hao Li 025; Zixuan Li; Kenli Li 001; Jan S. Rellermeyer; Lydia Y. Chen; Keqin Li 001 (CoRR, 2020)

Systematic Mapping Study on the Machine Learning Lifecycle. - Yuanhao Xie; Luis Cruz 002; Petra Heck; Jan S. Rellermeyer (WAIN@ICSE, 2021)

A fresh look at the architecture and performance of contemporary isolation platforms. - Vincent van Rijn; Jan S. Rellermeyer (Middleware, 2021)

RCURRENCY: Live Digital Asset Trading Using a Recurrent Neural Network-based Forecasting System. - Yapeng Jasper Hu; Ralph van Gurp; Ashay Somai; Hugo Kooijman; Jan S. Rellermeyer (CoRR, 2021)

Roadmap for Edge AI: A Dagstuhl Perspective. - Aaron Yi Ding; Ella Peltonen; Tobias Meuser; Atakan Aral; Christian Becker 001; Schahram Dustdar; Thomas Hiessl; Dieter Kranzlmüller; Madhusanka Liyanage; Setareh Magshudi; Nitinder Mohan; Jörg Ott; et al. (CoRR, 2021)

A Survey on Distributed Machine Learning. - Joost Verbraeken; Matthijs Wolting; Jonathan Katzy; Jeroen Kloppenburg; Tim Verbelen; Jan S. Rellermeyer (ACM Comput. Surv., 2021)

SGD$ _$_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition. - Hao Li 025; Zixuan Li; Kenli Li 001; Jan S. Rellermeyer; Lydia Y. Chen; Keqin Li 001 (IEEE Trans. Parallel Distributed Syst., 2021)

Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study. - Lorena Poenaru-Olaru; Luis Cruz 002; Arie van Deursen; Jan S. Rellermeyer (IEEE Big Data, 2022)

In-Memory Indexed Caching for Distributed Data Processing. - Alexandru Uta; Bogdan Ghit; Ankur Dave; Jan S. Rellermeyer; Peter A. Boncz (IPDPS, 2022)

Roadmap for edge AI: a Dagstuhl perspective. - Aaron Yi Ding; Ella Peltonen; Tobias Meuser; Atakan Aral; Christian Becker 001; Schahram Dustdar; Thomas Hiessl; Dieter Kranzlmüller; Madhusanka Liyanage; Setareh Maghsudi; Nitinder Mohan; Jörg Ott; et al. (Comput. Commun. Rev., 2022)

Future Computer Systems and Networking Research in the Netherlands: A Manifesto. - Alexandru Iosup; Fernando Kuipers; Ana Lucia Varbanescu; Paola Grosso; Animesh Trivedi; Jan S. Rellermeyer; Lin Wang 015; Alexandru Uta; Francesco Regazzoni 001 (CoRR, 2022)

Maintaining and Monitoring AIOps Models Against Concept Drift. - Lorena Poenaru-Olaru; Luis Cruz 002; Jan S. Rellermeyer; Arie van Deursen (CAIN, 2023)

Toward Competitive Serverless Deep Learning. - Stefan Petrescu; Diego Albo Martínez; Jan S. Rellermeyer (DICG@Middleware, 2023)

Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques. - Lorena Poenaru-Olaru; June Sallou; Luis Cruz 002; Jan S. Rellermeyer; Arie van Deursen (GREENS@ICSE, 2023)

Log Parsing Evaluation in the Era of Modern Software Systems. - Stefan Petrescu; Floris den Hengst; Alexandru Uta; Jan S. Rellermeyer (ISSRE, 2023)

The Performance of Distributed Applications: A Traffic Shaping Perspective. - Jasper A. Hasenoot; Jan S. Rellermeyer; Alexandru Uta (ICPE, 2023)

Maintenance Techniques for Anomaly Detection AIOps Solutions. - Lorena Poenaru-Olaru; Natalia Karpova; Luis Cruz 002; Jan S. Rellermeyer; Arie van Deursen (CoRR, 2023)

Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World. - Lorena Poenaru-Olaru; Natalia Karpova; Luis Cruz 002; Jan S. Rellermeyer; Arie van Deursen (CAIN, 2024)

Brug: An Adaptive Memory (Re-)Allocator. - Weikang Weng; Alexandru Uta; Jan S. Rellermeyer (CCGrid, 2024)

McUDI: Model-Centric Unsupervised Degradation Indicator for Failure Prediction AIOps Solutions. - Lorena Poenaru-Olaru; Luis Cruz 002; Jan S. Rellermeyer; Arie van Deursen (CoRR, 2024)

DynaWarp - Efficient, large-scale log storage and retrieval. - Julian Reichinger; Thomas Krismayer; Jan S. Rellermeyer (CoRR, 2024)

Multi-Unit Floor Plan Recognition and Reconstruction Using Improved Semantic Segmentation of Raster-Wise Floor Plans. - Lukas Kratochvila; Gijs de Jong; Monique Arkesteijn; Simon Bilik; Tomás Zemcík; Karel Horák 001; Jan S. Rellermeyer (CoRR, 2024)

Towards a Middleware for Large Language Models. - Narcisa Guran; Florian Knauf; Man Ngo; Stefan Petrescu; Jan S. Rellermeyer (CoRR, 2024)

Improving the Reliability of Failure Prediction Models through Concept Drift Monitoring. - Lorena Poenaru-Olaru; Luis Cruz 002; Jan S. Rellermeyer; Arie van Deursen (DeepTest, 2025)

Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum. - Ella Peltonen; Suzan Bayhan; David Bermbach; Sebastian Buschjäger; Victoria Degeler; Aaron Yi Ding; Özlem Durmaz Incel; Dewant Katare; Mikkel Baun Kjærgaard; Sam Leroux; Toktam Mahmoodi; Zoltán Ádám Mann; et al. (IEEE Internet Comput., 2025)

Sustainable Machine Learning Retraining: Optimizing Energy Efficiency Without Compromising Accuracy. - Lorena Poenaru-Olaru; June Sallou; Luis Cruz 002; Jan S. Rellermeyer; Arie van Deursen (CoRR, 2025)