Aspect-Oriented Programming in the Coyote Project. - Vinny Cahill; Jim Dowling; Tilman Schäfer; Barry Redmond (ECOOP Workshops, 1998)

Using Reflection to Support Dynamic Adaptation of System Software: A Case Study Driven Evaluation. - Jim Dowling; Tilman Schäfer; Vinny Cahill; Peter Haraszti; Barry Redmond (Reflection and Software Engineering, 1999)

The K-Component Architecture Meta-model for Self-Adaptive Software. - Jim Dowling; Vinny Cahill (Reflection, 2001)

Collaborative Reinforcement Learning of Autonomic Behaviour. - Jim Dowling; Raymond Cunningham; Eoin Curran; Vinny Cahill (DEXA Workshops, 2004)

A Pervasive Application Rights Management Architecture (PARMA) based on ODRL. - Dominik Dahlem; Ivana Dusparic; Jim Dowling (ODRL Workshop, 2004)

Self-managed decentralised systems using K-components and collaborative reinforcement learning. - Jim Dowling; Vinny Cahill (WOSS, 2004)

The Decentralised Coordination of Self-Adaptive Components - Jim Dowling (2004)

Emergent Consensus in Decentralised Systems Using Collaborative Reinforcement Learning. - Jim Dowling; Raymond Cunningham; Anthony Harrington; Eoin Curran; Vinny Cahill (Self-star Properties in Complex Information Systems, 2005)

Matching distributed systems to their environment using dissipative structures. - Jim Dowling; Dominik Dahlem; Jan Sacha (CollaborateCom, 2005)

A Gradient Topology for Master-Slave Replication in Peer-to-Peer Environments. - Jan Sacha; Jim Dowling (DBISP2P, 2005)

Flexible Application Rights Management in a Pervasive Environment. - Ivana Dusparic; Dominik Dahlem; Jim Dowling (EEE, 2005)

Predicting probability distributions for surf height using an ensemble of mixture density networks. - Michael Carney; Padraig Cunningham; Jim Dowling; Ciaran Lee (ICML, 2005)

SAMPLE: Statistical Network Link Modelling in an On-Demand Probabilistic Routing Protocol for Ad Hoc Networks. - Eoin Curran; Jim Dowling (WONS, 2005)

Using feedback in collaborative reinforcement learning to adaptively optimize MANET routing. - Jim Dowling; Eoin Curran; Raymond Cunningham; Vinny Cahill (IEEE Trans. Syst. Man Cybern. Part A, 2005)

High-bandwidth mesh-based overlay multicast in heterogeneous environments. - Bartosz Biskupski; Raymond Cunningham; Jim Dowling; René Meier 001 (AAA-IDEA, 2006)

Discovery of Stable Peers in a Self-organising Peer-to-Peer Gradient Topology. - Jan Sacha; Jim Dowling; Raymond Cunningham; René Meier 001 (DAIS, 2006)

Using Aggregation for Adaptive Super-Peer Discovery on the Gradient Topology. - Jan Sacha; Jim Dowling; Raymond Cunningham; René Meier 001 (SelfMan, 2006)

Building autonomic systems using collaborative reinforcement learning. - Jim Dowling; Raymond Cunningham; Eoin Curran; Vinny Cahill (Knowl. Eng. Rev., 2006)

Improving ICE Service Selection in a P2P System using the Gradient Topology. - Jim Dowling; Jan Sacha; Seif Haridi (SASO, 2007)

Properties and mechanisms of self-organizing MANET and P2P systems. - Bartosz Biskupski; Jim Dowling; Jan Sacha (ACM Trans. Auton. Adapt. Syst., 2007)

Developing a Distributed Electronic Health-Record Store for India. - Jim Dowling; Seif Haridi (ERCIM News, 2008)

Developing, simulating, and deploying peer-to-peer systems using the Kompics component model. - Cosmin Arad; Jim Dowling; Seif Haridi (COMSWARE, 2009)

Building and Evaluating P2P Systems using the Kompics Component Framework. - Cosmin Arad; Jim Dowling; Seif Haridi (Peer-to-Peer Computing, 2009)

gradienTv: Market-Based P2P Live Media Streaming on the Gradient Overlay. - Amir Hossein Payberah; Jim Dowling; Fatemeh Rahimian; Seif Haridi (DAIS, 2010)

P2P VoD using the self-organizing gradient overlay network. - Gautier Berthou; Jim Dowling (SOAR@ICAC, 2010)

Sepidar: Incentivized Market-Based P2P Live-Streaming on the Gradient Overlay Network. - Amir Hossein Payberah; Fatemeh Rahimian; Seif Haridi; Jim Dowling (ISM, 2010)

Decentralising a service-oriented architecture. - Jan Sacha; Bartosz Biskupski; Dominik Dahlem; Raymond Cunningham; René Meier 001; Jim Dowling; Mads Haahr (Peer-to-Peer Netw. Appl., 2010)

Cognitive policy learner: biasing winning or losing strategies. - Dominik Dahlem; Jim Dowling; William Harrison (AAMAS, 2011)

Converging an overlay network to a Gradient topology. - Håkan Terelius; Guodong Shi; Jim Dowling; Amir Hossein Payberah; Ather Gattami; Karl Henrik Johansson (CDC/ECC, 2011)

Usurp: Distributed NAT Traversal for Overlay Networks. - Salman Niazi; Jim Dowling (DAIS, 2011)

Gozar: NAT-Friendly Peer Sampling with One-Hop Distributed NAT Traversal. - Amir Hossein Payberah; Jim Dowling; Seif Haridi (DAIS, 2011)

GLive: The Gradient Overlay as a Market Maker for Mesh-Based P2P Live Streaming. - Amir Hossein Payberah; Jim Dowling; Seif Haridi (ISPDC, 2011)

Shuffling with a Croupier: Nat-Aware Peer-Sampling. - Jim Dowling; Amir Hossein Payberah (ICDCS, 2012)

Message-Passing Concurrency for Scalable, Stateful, Reconfigurable Middleware. - Cosmin Arad; Jim Dowling; Seif Haridi (Middleware, 2012)

Distributed optimization of P2P live streaming overlays. - Amir Hossein Payberah; Jim Dowling; Fatemeh Rahimian; Seif Haridi (Computing, 2012)

Lightweight gossip-based distribution estimation. - Amir Hossein Payberah; Hanna Kavalionak; Alberto Montresor; Jim Dowling; Seif Haridi (ICC, 2013)

Through the wormhole: Low cost, fresh peer sampling for the Internet. - Roberto Roverso; Jim Dowling; Márk Jelasity (P2P, 2013)

Scaling HDFS with a Strongly Consistent Relational Model for Metadata. - Kamal Hakimzadeh; Hooman Peiro Sajjad; Jim Dowling (DAIS, 2014)

Leader Election Using NewSQL Database Systems. - Salman Niazi; Mahmoud Ismail; Gautier Berthou; Jim Dowling (DAIS, 2015)

A security framework for population-scale genomics analysis. - Ali Gholami; Jim Dowling; Erwin Laure (HPCS, 2015)

Deploying clouds in the Guifi community network. - Roger Baig; Jim Dowling; Pau Escrich Garcia; Felix Freitag; Roc Meseguer; Agustí Moll; Leandro Navarro 001; Ermanno Pietrosemoli; Roger Pueyo Centelles; Vladimir Vlassov; Marco Zennaro (IM, 2015)

BiobankCloud: A Platform for the Secure Storage, Sharing, and Processing of Large Biomedical Data Sets. - Alysson Bessani; Jörgen Brandt; Marc Bux; Vinicius Vielmo Cogo; Lora Dimitrova; Jim Dowling; Ali Gholami; Kamal Hakimzadeh; Michael Hummel; Mahmoud Ismail; Erwin Laure; Ulf Leser; et al. (Big-O(Q)/DMAH@VLDB, 2015)

SAASFEE: Scalable Scientific Workflow Execution Engine. - Marc Bux; Jörgen Brandt; Carsten Lipka; Kamal Hakimzadeh; Jim Dowling; Ulf Leser (Proc. VLDB Endow., 2015)

Static Type Checking for the Kompics Component Model: Kola - The Kompics Language. - Lars Kroll; Jim Dowling; Seif Haridi (PMLDC@ECOOP, 2016)

NATCloud: cloud-assisted NAT-traversal service. - Hanna Kavalionak; Amir Hossein Payberah; Alberto Montresor; Jim Dowling (SAC, 2016)

Towards Streamlined Big Data Analytics. - András A. Benczúr; Róbert Pálovics; Márton Balassi; Volker Markl; Tilmann Rabl; Juan Soto 001; Björn Hovstadius; Jim Dowling; Seif Haridi (ERCIM News, 2016)

Scaling HDFS to more than 1 million operations per second with HopsFS. - Mahmoud Ismail; Salman Niazi; Mikael Ronström; Seif Haridi; Jim Dowling (CCGrid, 2017)

Hi-WAY: Execution of Scientific Workflows on Hadoop YARN. - Marc Bux; Jörgen Brandt; Carl Witt; Jim Dowling; Ulf Leser (EDBT, 2017)

HopsFS: Scaling Hierarchical File System Metadata Using NewSQL Databases. - Salman Niazi; Mahmoud Ismail; Seif Haridi; Jim Dowling; Steffen Grohsschmiedt; Mikael Ronström (FAST, 2017)

Hopsworks: Improving User Experience and Development on Hadoop with Scalable, Strongly Consistent Metadata. - Mahmoud Ismail; Ermias Gebremeskel; Theofilos Kakantousis; Gautier Berthou; Jim Dowling (ICDCS, 2017)

Fast and Flexible Networking for Message-Oriented Middleware. - Lars Kroll; Alexandru A. Ormenisan; Jim Dowling (ICDCS, 2017)

Dela - Sharing Large Datasets between Hadoop Clusters. - Alexandru A. Ormenisan; Jim Dowling (ICDCS, 2017)

E-Science technologies in a workflow for personalized medicine using cancer screening as a case study. - Ola Spjuth; Andreas Karlsson; Mark Clements; Keith Humphreys; Emma Ivansson; Jim Dowling; Martin Eklund; Alexandra Jauhiainen; Kamila Czene; Henrik Gronberg; Pär Sparén; Fredrik Wiklund; et al. (J. Am. Medical Informatics Assoc., 2017)

Size Matters: Improving the Performance of Small Files in Hadoop. - Salman Niazi; Mikael Ronström; Seif Haridi; Jim Dowling (Middleware, 2018)

Karamel: A System for Timely Provisioning Large-Scale Software across IaaS Clouds. - Kamal Hakimzadeh; Jim Dowling (CLOUD, 2019)

Scalable Block Reporting for HopsFS. - Mahmoud Ismail; August Bonds; Salman Niazi; Seif Haridi; Jim Dowling (BigData Congress, 2019)

ePipe: Near Real-Time Polyglot Persistence of HopsFS Metadata. - Mahmoud Ismail; Mikael Ronström; Seif Haridi; Jim Dowling (CCGRID, 2019)

From Copernicus Big Data to Extreme Earth Analytics. - Manolis Koubarakis; Konstantina Bereta; Dimitris Bilidas; Konstantinos Giannousis; Theofilos Ioannidis; Despina-Athanasia Pantazi; George Stamoulis 001; Jim Dowling; Seif Haridi; Vladimir Vlassov; Lorenzo Bruzzone; Claudia Paris; et al. (EDBT, 2019)

Ops-Scale: Scalable and Elastic Cloud Operations by a Functional Abstraction and Feedback Loops. - Kamal Hakimzadeh; Jim Dowling (SASO, 2019)

HopsFS: Scaling Hierarchical File System Metadata Using NewSQL Databases. - Salman Niazi; Mahmoud Ismail; Seif Haridi; Jim Dowling (Encyclopedia of Big Data Technologies, 2019)

Maggy: Scalable Asynchronous Parallel Hyperparameter Search. - Moritz Meister; Sina Sheikholeslami; Amir Hossein Payberah; Vladimir Vlassov; Jim Dowling (DistributedML@CoNEXT, 2020)

Distributed Hierarchical File Systems strike back in the Cloud. - Mahmoud Ismail; Salman Niazi; Mauritz Sundell; Mikael Ronström; Seif Haridi; Jim Dowling (ICDCS, 2020)

HopsFS-S3: Extending Object Stores with POSIX-like Semantics and more (industry track). - Mahmoud Ismail; Salman Niazi; Gautier Berthou; Mikael Ronström; Seif Haridi; Jim Dowling (Middleware Industry, 2020)

Time Travel and Provenance for Machine Learning Pipelines. - Alexandru A. Ormenisan; Moritz Meister; Fabio Buso; Robin Andersson; Seif Haridi; Jim Dowling (OpML, 2020)

Evolving 5G: ANIARA, an edge-cloud perspective. - Ian Marsh; Nicolae Paladi; Henrik Abrahamsson; Jonas Gustafsson; Johan Sjöberg; Andreas Johnsson; Pontus Sköldström; Jim Dowling; Paolo Monti 001; Melina Vruna; Mohsen Amiribesheli (CF, 2021)

AutoAblation: Automated Parallel Ablation Studies for Deep Learning. - Sina Sheikholeslami; Moritz Meister; Tianze Wang; Amir Hossein Payberah; Vladimir Vlassov; Jim Dowling (EuroMLSys@EuroSys, 2021)

ExtremeEarth Meets Satellite Data From Space. - Desta Haileselassie Hagos; Theofilos Kakantousis; Vladimir Vlassov; Sina Sheikholeslami; Tianze Wang; Jim Dowling; Claudia Paris; Daniele Marinelli; Giulio Weikmann; Lorenzo Bruzzone; Salman Khaleghian; Thomas Krämer; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Evolving 5G: ANIARA, an Edge-Cloud perspective. - Ian Marsh; Wolfgang John; Ali Balador; Federico Tonini; Jalil Taghia; Andreas Johnsson; Paolo Monti 001; Jonas Gustafsson; Pontus Sköldström; Johan Sjöberg; Jim Dowling (CoRR, 2022)

Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks. - Desta Haileselassie Hagos; Theofilos Kakantousis; Sina Sheikholeslami; Tianze Wang; Vladimir Vlassov; Amir Hossein Payberah; Moritz Meister; Robin Andersson; Jim Dowling (Remote. Sens., 2022)

The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks. - Sina Sheikholeslami; Amir Hossein Payberah; Tianze Wang; Jim Dowling; Vladimir Vlassov (DAIS, 2023)

Cloud-native RStudio on Kubernetes for Hopsworks. - Gibson Chikafa; Sina Sheikholeslami; Salman Niazi; Jim Dowling; Vladimir Vlassov (CoRR, 2023)

Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data. - Giulio Weikmann; Daniele Marinelli; Claudia Paris; Silke Migdall; Eva Gleisberg; Florian Appel; Heike Bach; Jim Dowling; Lorenzo Bruzzone (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

The Hopsworks Feature Store for Machine Learning. - Javier de la Rúa Martínez; Fabio Buso; Antonios Kouzoupis; Alexandru A. Ormenisan; Salman Niazi; Davit Bzhalava; Kenneth Mak; Victor Jouffrey; Mikael Ronström; Raymond Cunningham; Ralfs Zangis; Dhananjay Mukhedkar; et al. (SIGMOD Conference Companion, 2024)

Utilizing Large Language Models for Ablation Studies in Machine Learning and Deep Learning. - Sina Sheikholeslami; Hamid Ghasemirahni; Amir Hossein Payberah; Tianze Wang; Jim Dowling; Vladimir Vlassov (EuroMLSys, 2025)