
Introduction
The “Distributed and Parallel Systems” research area led by Prof. Radu Prodan focuses on research and development of software tools to support the development and execution cycle of scientific and industrial applications on current parallel and distributed computing infrastructures.
Research Topics
- parallel and distributed systems
- Cloud computing and simulation
- high-performance computing
- performance analysis and prediction
- resource management and scheduling
- multi-objective optimization
- programming and runtime environments
- compiler technology
- energy efficiency
News

Expelliarmus is a novel semantic-centric approach to VMI management system in IaaS Clouds that helps to
minimize storage, publish and retrieval overheads. It incorporates three complementary features:
- VMIs are modelled as semantic graphs to expedite the similarity computation between multiple VMIs.
- Semantic-aware VMI decomposition and base image selection to extract and store non-redundant base image and software packages.
- Assemble VMIs based on the required software packages upon user request.
More information will be added soon …
More information will be added soon …
The research activity is focused on the optimized monitoring and measurement techniques purposely tuned for data-intensive
applications able to offer fine-granular performance statistics collection with controlled overhead at the exascale.
The underlying challenge consists in providing techniques for monitoring resource utilisation and instrumenting of the scalabale applications without causing large overheads in the instrumented system.
The research activity is focused on the auto-tunable system design (mathematical models, algorithms), which effciently performs orchestration of the massive data-intensive processes of the exascale systems while keeping in consideration the set of constraints. The underlying challenge consists in selection of tunable parameters space, optimization objectives and strategies for optimized (static, dynamic) control.
The optimization space created by these tunable parameters will be used as the core for the online scheduler operation that possibly considers multiple conflicting goals such as execution time, energy
and efficency by varying the tunable parameters.
Askalon is an Execution Engine, which supports workflow executions in:
- different Clouds (Amazon EC2, OpenStack, etc.)
- Cloud simulations (Groudsim), and
- Fog
As part of Askalon, a performance monitoring tool stores workflow execution traces in a PostgresSQL database.
ARTICONF researches and develops a novel set of trustworthy, resilient, and globally sustainable decentralised
social media services. ARTICONF addresses issues of trust, time-criticality and democratisation for a new
generation of federated infrastructure, to fulfil the privacy, robustness, and autonomy related promises that
proprietary social media platforms have failed to deliver so far.
-
Univ.-Prof. DI Dr. Radu ProdanFull Professor
-
Dr. Dragi Kimovski, MScPostdoctoral Assistant
-
Dr. Anatoliy ZabrovskiyPostdoctoral Researcher
-
Dr. Prateek AgrawalPostdoctoral Researcher
-
DI Andreas LeibetsederProject Assistant
-
Zahra Najafabadi Samani, MScProject Assistant
-
Vladislav Kashanskii, MScProject Assistant
-
Nishant Saurabh, MScProject Assistant
-
Roland Mathá, MScProject Assistant
-
Narges Mehran, MScUniversity Assistant
-
Mag. Dr. Mario TaschwerSystem Administrator
-
Martina SteinbacherSecretary
-
Nicolas BossiResearch Assistant
-
Manuel Herold, BSc.Student Research Assistant
-
Bogdan Mihai, BSc.Student Research Assistant
-
Alexander Lercher, BSc.Student Research Assistant
-
Luca BraunStudent Research Assitant
-
Manuel SeywaldStudent Research Assistant
Office hours
Room
Phone
Fax
Room
Phone
Website
Projects

Dr. Anatoliy Zabrovskiy
Room
Phone
Projects

Dr. Prateek Agrawal

DI Andreas Leibetseder

Zahra Najafabadi Samani, MSc
Room
Website
Projects

Vladislav Kashanskii, MSc
Room
Phone
Room
Phone
Website
Projects
Room
Phone
Website
Projects
Room
Phone
Website
Projects

Mag. Dr. Mario Taschwer
Room
Phone
Fax
Short CV
Teaching
Office hours
Projects

Martina Steinbacher
Room
Phone
Fax
Short CV

Nicolas Bossi

Manuel Herold, BSc.
Projects

Bogdan Mihai, BSc.

Alexander Lercher, BSc.

Luca Braun

Manuel Seywald
Ongoing Projects
We actively participate in numerous international and national research projects, ranging from basic research to application-oriented projects and direct cooperation with industry, such as:
- BABEG Kärntner Fog: A 5G-Enabled Fog Infrastructure for Automated Operation of Carinthia’s 5G Playground Application Use Cases (2021-2024)
- ADAPT: ADaptive and Autonomous data Performance connectivity and decentralized Transport decision-making Network, FFG and CAS, 2021-2023
- DataCloud: Enabling the Big Data Pipeline Lifecycle on the Computing Continuum, H2020, 2021-2023
- ARTICONF: smART SocIal media eCOsytstems in a blockchaiN Federated environment, H2020-ICT-2018-2, 2019-2022.
- ASPIDE: exAScale ProgramIng models for extreme Data processing, European Commission, H2020-FETHPC-2017, 2018 – 2020
- APOLLO: Intelligent Video Platform “APOLLO”, FFG, 10/2019-09/2021
- Code Ability: Digital unterstützte Programmierausbildung an österreichischen Universitäten, Bundesministerium für Bildung, Wissenschaft und Forschung (BMBWF), 01/2020 – 12/2024
Completed Projects
We gained our expertise due to actively participation in numerous international and national research projects, ranging from basic research to application-oriented projects and direct cooperation with industry, such as:
- ENTICE: dEcentralized repositories for traNsparent and efficienT vIrtual maChine opErations, H2020-ICT-2014-1, 2015 – 2018
- eRamp: Excellence in Speed and Reliability for More than Moore Technologies, ENIAC Joint Undertaking, 2014 – 2016
- Tiroler Cloud: A federated Cloud for energy-aware resource provisioning for industrial and scientific applications, Austrian Research Promotion Agency (FFG), 2015 – 2018.
Teaching
We teach basic lectures on distributed systems and compiler technology in bachelor and advanced Cloud, peer-to-peer, and parallel systems in the master program.
Carinthian Computing Continuum
The Carinthian Computing Continuum (C3) is a research laboratory and infrastructure provider in the field of Cloud, Fog and Edge computing. Our main research activities are focused towards exploring novel approaches for resources provisioning, infrastructure deployment and application scheduling across the Computing Continuum.