1. (Parallel and) Distributed Systems Group
Prof.dr.ir. Dick H.J. Epema
11 december 2015

2. The (Parallel and) Distributed Systems Group: People
Alexandru Iosup
Cloud Computing
P2P systems
Big Data
Online gaming
Johan Pouwelse
P2P systems
Online Social Netw.
Video distribution
Applied security
Henk Sips
HPC systems
Parallel computing
Multi-core
P2P systems
Dick Epema
Cloud Computing
e-Science
P2P systems
Online Social Networks
11 december 2015

3. The Distributed Systems Group: Teaching
BSc courses
Computer Organization (1st year)
Networks (2nd year)
Operating Systems (2nd year)
MSc courses:
IN4150: Distributed Algorithms (Q3) (core Software Techn.)
IN4391: Distributed Computing Systems (Q3) (core Data Sc.&Techn.)
IN4049: High-Performance Computing (Q1)
IN4392: Seminar Cloud Computing (Q1)
IN4253: Applied Security Analysis (Q3)
11 december 2015

4. The Distributed Systems Group: Type of Research
Our research is:
fundamental: devise new application-independent concepts in parallel and distributed systems
experimental: show the value of new concepts in prototypes or real deployments
11 december 2015

5. Experimentation: DAS-5
UvA/MultimediaN (62)
VU (136 CPUs)
UvA (36)
SURFnet6
System purely for CS research
Operational since June 2015
Specs:
3,200 cores (8-core CPUs)
2.4 GHz CPUs
accelerators (GPUs)
800 TB storage
10 Gb/s Infiniband
Gb Ethernet
10 Gb/s lambdas
TU Delft (48)
Leiden (48)
Astron (9)
11 december 2015

6. The Distributed Systems Group: Research Topics
Scheduling in Distributed Computing Systems
Big Data Processing
Cooperative Systems
11 december 2015

7. The KOALA multicluster scheduler
deployed on the DAS since 2005
parallel MPI applications workflows
cycle-scavenging applications
MapReduce applications
information service
LRM
LRM
LRM
LRM
11 december 2015

8. BTWorld: a Typical Big Data Project
Ongoing longitudinal study
Data-driven approach to understanding BitTorrent
Population variation
Availability of old files
Effect of legal challenges
Queries added during the project
Collected > 15 TB data since 2009
See
11 december 2015

9. Cooperative Systems Tribler
is based on the BitTorrent P2P file-sharing system
considers peers as really representing actual users
adds social-based functionality (e.g., taste buddies)
uses an epidemic protocol for peer and content discovery
peers keep a MegaCache with information on the whole system
was first released on 17 March 2006 (1,500,000+ downloads)
enables video-on-demand and live streaming
is our research vehicle for P2P research
current focus: reputation and trust systems, cybercurrencies
11 december 2015

10. Organized by the PDS Group (1/2)
11 december 2015

11. Organized by the DS Group (2/2)
icpe2016.spec.org
11 december 2015

12. More information PDS publications Home pages: Web sites:
Home pages:
Web sites:
KOALA:
DAS5:
Tribler:
11 december 2015

13. PDS Tag Cloud
11 december 2015