- The Distributed Systems Group has a job opening for a PhD student in blockchain technology for next-generation telecommunication networks in collaboration with KNP.
- Here is the 1-page annual report 2017 of the Distributed Systems group.
- Here is the 1-page annual report 2016 of the Distributed Systems group.
- Here is the 1-page annual report 2015 of the Distributed Systems group.
Welcome to the home page of the Distributed Systems (DS) group, which 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 2015, the DS group was called the Parallel and Distributed Systems (PDS) group.
The mission of the DS 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, online games, graph processing, 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 three research areas of the DS group are scheduling in distributed computing systems, big data processing, and cooperative systems. Recently, the group strongly increased its research into blockchain technology, and it leads the Delft Blockchain Lab.
The teaching of the DS group consists of BSc courses on computer systems, operating systems, and networks, and of MSc courses on Distributed Algorithms, Distributed Systems, and Cloud Computing. In the fall of 2017, a new course on Blockchain Engineering was started.
The DS group has excellent computing facilities for its experimental research. We have a 48-node cluster computer, which is part of the NWO-funded fifth-generation Distributed ASCI Supercomputer (DAS-5). Each node consists of two 2.4-GHz eight-core CPUs, 64 GB of main memory, and 2 4-TB disks, and a total amount of storage in the headnodes of 192 TB. All the nodes are connected by a 10-Gb Infiniband network and a Gigabit Ethernet network. The entire cluster is connected by a wide-area network to similar systems at the other universities participating in the Dutch Research School ASCI.
NEWS and NOTEWORTHY
Alexey Ilyushkin receives a best-paper nomination at CCGrid 2018
Alexey Ilyushkin receives a best-paper nomination at CCGrid 2018.
Fact sheet with the achievements of project P20
Fact sheet with the achievements of project P20 (Infrastructure Virtualization for e-Science) of COMMIT/NL.
Sobhan Omranian started as a PhD student on runtime systems for data processing frameworks
Sobhan Omranian started as a PhD student on runtime systems for data processing frameworks with Jan Rellermeyer as supervisor.
Martijn de Vos and Kelong Cong both have a paper accepted at the IFIP Networking 2018 Conference
Martijn de Vos and Kelong Cong both have a paper accepted with their supervisor Johan Pouwelse at the IFIP Networking 2018 Conference.
Launch event of the Delft Blockchain Lab
Launch event of the Delft Blockchain Lab.
Both Aleksandra Kuzmanovska and Alexey Ilyushkin have a paper accepted with their supervisor Dick Epema at CCGrid 2018
Both Aleksandra Kuzmanovska (TU Eindhoven) and Alexey Ilyushkin have a paper accepted with their supervisor Dick Epema at CCGrid 2018
Jan Rellermeyer has received the Test of Time Award
Jan Rellermeyer has received the Test of Time Award at the ACM/IFIP/Usenix Middleware 2017 Conference for his paper "R-OSGi: Distributed Applications Through Software Modularization" at Middleware 2007.
Jan Rellermeyer has joined the Distributed Systems group
Jan Rellermeyer has joined the Distributed Systems group as an assistant professor.
Interview with Bogdan Ghit in the COMMIT/ newsletter about his thesis
Interview with Bogdan Ghit in the COMMIT/ newsletter about his thesis.
Bogdan Ghit defended his PhD thesis entitled Optimizing the Performance of Data Analytics Frameworks
Bogdan Ghit defended his PhD thesis entitled Optimizing the Performance of Data Analytics Frameworks.