Data-Intensive Systems

The Data-Intensive Systems (DIS) group is one of the sections of the Department of Software Technology (ST) of the Faculty Electrical Engineering, Mathematics, and Computer Science (EEMCS) of Delft University of Technology. Until 2023, the DIS group was called the Distributed Systems (DS) group.

The mission of the DiS group is to model, design, implement, and analyze distributed systems and algorithms. Its research is fundamental, aimed at the development and evaluation of new generic concepts in systems software, and application-driven, motivated by important application areas, such as e-science, big data processing, blockchains, large-scale machine learning, and online social networks. Much of it is experimental, validating the proposed new concepts by means of implementation and deployment in prototypes that are used in the real world. The two research areas of the DIS group are distributed machine-learning systems and cooperative systems (with a strong focus on blockchain technology). The section Data-Intensive Systems leads the Delft Blockchain Lab.

The teaching of the DIS group consists of BSc courses on networks and operating systems, and of MSc courses on Blockchain Engineering, Cloud Computing, Distributed Algorithms, Distributed Systems and Performance Analysis of Computer Systems.

Distributed Machine-learning Systems
Machine Learning & AI Systems

Researching the principles and practices for enabling machine learning in large-scale distributed & federated systems.

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Cooperative Systems
Resilient Systems & Blockchain

Understand and designing decentralized & fault-tolerant systems and consensus-free blockchain.

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Cooperative Systems
Data Management

Research in data-intensive systems, and data integration.

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