Quinten Stokkink, Georgy Ishmaev, Dick Epema, Johan Pouwelse (2021), A Truly Self-Sovereign Identity System, L. Khoukhi, Sharief Oteafy, Eyuphan Bulut (Eds.), In 2021 IEEE 46th Conference on Local Computer Networks (LCN) p.1-8, IEEE .

Ayman Esmat, Martijn de Vos, Yashar Ghiassi-Farrokhfal, Peter Palensky, Dick Epema (2021), A novel decentralized platform for peer-to-peer energy trading market with blockchain technology, In Applied Energy Volume 282 p.1-16.

Satwik Prabhu Kumble, Dick Epema, Stefanie Roos (2021), How Lightning's Routing Diminishes its Anonymity, In ARES 2021, Association for Computing Machinery (ACM).

Long Cheng, Ying Wang, Qingzhi Liu, Dick H.J. Epema, Cheng Liu, Ying Mao, John Murphy (2021), Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers, In IEEE Transactions on Parallel and Distributed Systems Volume 32 p.1494-1510.

Amin Rezaeian, Mahmoud Naghibzadeh, Dick H.J. Epema (2019), Fair multiple-workflow scheduling with different quality-of-service goals, In Journal of Supercomputing Volume 75 p.746-769.

Sobhan Omranian Khorasani, Jan S. Rellermeyer, Dick Epema (2019), Self-adaptive Executors for Big Data Processing, In Middleware 2019 - Proceedings of the 2019 20th International Middleware Conference p.176-188, Association for Computing Machinery (ACM).

Aleksandra Kuzmanovska, Hans van den Bogert, Rudolf Mak, Dick Epema (2018), Achieving Performance Balance among Spark Frameworks with Two-Level Schedulers, In Proceedings - 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2018 p.133-142, IEEE .

Alexey Ilyushkin, Ahmed Ali-Eldin, Nikolas Herbst, André Bauer, Alessandro Papadopoulos, Dick Epema, Alexandru Iosup (2018), An Experimental Performance Evaluation of Autoscalers for Complex Workflows, In ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS) Volume 3 p.1-32.

Alexey Ilyushkin, Dick Epema (2018), The Impact of Task Runtime Estimate Accuracy on Scheduling Workloads of Workflows, In 18th IEEE/ACM Int'l Symp. on Cluster, Cloud and Grid Computing p.331-341.

Long Cheng, Ying Wang, Yulong Pei, Dick Epema (2017), A Coflow-based Co-optimization Framework for High-performance Data Analytics, In Proceedings - 46th International Conference on Parallel Processing, ICPP 2017 p.392-401, IEEE .