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Institute of Informatics

International projects

EOSC-hub - Integrating and managing services for the European Open Science Cloud (EOSC-hub)
Integrovanie a manažment služieb pre európsky cloud pre otvorenú vedu
Program: Horizont 2020
Project leader: doc. Ing. Hluchý Ladislav CSc.
Annotation:The EOSC-hub project creates the integration and management system of the future European Open Science Cloud that delivers a catalogue of services, software and data from the EGI Federation, EUDAT CDI, INDIGO-DataCloud and major research e-infrastructures. This integration and management system (the Hub) builds on mature processes, policies and tools from the leading European federated e-Infrastructures to cover the whole life-cycle of services, from planning to delivery. The Hub aggregates services from local, regional and national e-Infrastructures in Europe, Africa, Asia, Canada and South America. The Hub acts as a single contact point for researchers and innovators to discover, access, use and reuse a broad spectrum of resources for advanced data-driven research. Through the virtual access mechanism, more scientific communities and users have access to services supporting their scientific discovery and collaboration across disciplinary and geographical boundaries. The project also improves skills and knowledge among researchers and service operators by delivering specialised trainings and by establishing competence centres to co-create solutions with the users. In the area of engagement with the private sector, the project creates a Joint Digital Innovation Hub that stimulates an ecosystem of industry/SMEs, service providers and researchers to support business pilots, market take-up and commercial boost strategies. EOSC-hub builds on existing technology already at TRL 8 and addresses the need for interoperability by promoting the adoption of open standards and protocols. By mobilizing e-Infrastructures comprising more than 300 data centres worldwide and 18 pan-European infrastructures, this project is a ground-breaking milestone for the implementation of the European Open Science Cloud.
Duration: 1.1.2018 - 31.12.2020

DEEP-HybridDataC - Designing and Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud (DEEP-HybridDataCloud)
Návrh a sprístupnenie e-infraštruktúr pre intenzívne spracovanie v hybridnom dátovom cloude
Program: Horizont 2020
Project leader: doc. Ing. Hluchý Ladislav CSc.
Annotation:The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low latency interconnects, to explore very large datasets. A Hybrid Cloud approach enables the access to such resources that are not easily reachable by the researchers at the scale needed in the current EU e-infrastructure. We also propose to deploy under the common label of “DEEP as a Service” a set of building blocks that enable the easy development of applications requiring these techniques: deep learning using neural networks, parallel post-processing of very large data, and analysis of massive online data streams. Three pilot applications exploiting very large datasets in Biology, Physics and Network Security are proposed, and further pilots for dissemination into other areas like Medicine, Earth Observation, Astrophysics, and Citizen Science will be supported in a testbed with significant HPC resources, including latest generation GPUs, to evaluate the performance and scalability of the solutions. A DevOps approach will be implemented to provide the chain to ensure the quality of the software and services released, that will also be offered to the developers of research applications. The project will evolve to TRL8 existing services and technologies at TRL6+, including relevant contributions to the EOSC by the INDIGO-DataCloud H2020 project, that the project will enrich with new functionalities already available as prototypes, notably the support for GPUs and low latency interconnects. These services will be deployed in the project testbed, offered to the research communities linked to the project through pilot applications, and integrated under the EOSC framework, where they can be further scaled up in the future.
Project web page:
Duration: 1.11.2017 - 30.4.2020

SAV-NASU2017-201 - Development of software tools for analysis and synthesis of schedulers for cloud computing
Návrh softvérových nástrojov pre analýzu a syntézu plánovačov pre počítanie v cloude
Program: Medziakademická dohoda (MAD)
Project leader: doc. Ing. Hluchý Ladislav CSc.
Annotation:Modern scientific problems require significant computing resources, so the problem of resources optimization in multiprocessor environments is very important. We will focus on cloud systems as one of the most recent and promising fields of high-performance computing. Cloud computing systems operate in complex heterogeneous environments. It is common to have a single physical server with many simultaneous programs from different users competing for computing and network resources. In most cases, especially for public cloud, the user is unable to control the distribution of resources. The allocation algorithms may contain defects and inefficiency and this can lead to a significant increase in processing time, that is why cloud computing require efficient algorithms providing flexible and stable allocation of resources. The problem is in unfair and uneven access to resources, caused by heterogeneity of users and their tasks where each user is rational agent that tries to increase its share of resources. This could bring the system to the inefficient equilibrium., so a key element of cloud systems are efficient algorithms for load distribution – schedulers and brokers, providing services to users. The idea of this project is to apply game-theoretic approach to the problem of scheduling and allocation of computing resources in dynamic heterogeneous environment with many competitive users and provide software tools based on game-theoretic construction. Another idea of the project is an optimization approach that respects the requirements of end-users. This task will be modelled as a multi-criteria optimization problem. Each objective of the optimization will be associated with a weight. The weight will express the priority of the optimization objective. This way of the optimization will enable the end-users to adjust it to their needs. The problem will be sorted out in a general way so the solution will support various cloud providers. The project continues the previous cooperation of our Institute in constructing adaptive methods for programming high-performance computing on heterogeneous multiprocessor systems.
Duration: 6.4.2017 - 31.12.2019

PROCESS - PROviding Computing solutions for ExaScale ChallengeS (PROCESS)
Poskytovanie výpočtových riešení pre výzvy v oblasti ExaScale
Program: Horizont 2020
Project leader: doc. Ing. Hluchý Ladislav CSc.
Annotation:The PROCESS demonstrators will pave the way towards exascale data services that will accelerate innovation and maximise the benefits of these emerging data solutions. The main tangible outputs of PROCESS are five very large data service prototypes, implemented using a mature, modular, generalizable open source solution for user friendly exascale data. The services will be thoroughly validated in real-world settings, both in scientific research and in industry pilot deployments. To achieve these ambitious objectives, the project consortium brings together the key players in the new data-driven ecosystem: top-level HPC and big data centres, communities – such as Square Kilometre Array (SKA) project – with unique data challenges that the current solutions are unable to meet and experienced e-Infrastructure solution providers with an extensive track record of rapid application development. In addition to providing the service prototypes that can cope with very large data, PROCESS addresses the work programme goals by using the tools and services with heterogeneous use cases, including medical informatics, airline revenue management and open data for global disaster risk reduction. This diversity of user communities ensures that in addition to supporting communities that push the envelope, the solutions will also ease the learning curve for broadest possible range of user communities. In addition, the chosen open source strategy maximises the potential for uptake and reuse, together with mature software engineering practices that minimise the efforts needed to set up and maintain services based on the PROCESS software releases.
Duration: 1.11.2017 - 30.10.2020

ImAppNIO - Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice
Zvýšenie aplikovateľnosti prírodou inšpirovaných optimalizačných metód prepájaním teórie a praxe.
Program: COST
Project leader: Ing. Budinská Ivana PhD.
Annotation:The main objective of the COST Action is to bridge this gap and improve the applicability of all kinds of nature-inspired optimisation methods. It aims at making theoretical insights more accessible and practical by creating a platform where theoreticians and practitioners can meet and exchange insights, ideas and needs; by developing robust guidelines and practical support for application development based on theoretical insights; by developing theoretical frameworks driven by actual needs arising from practical applications; by training Early Career Investigators in a theory of nature-inspired optimisation methods that clearly aims at practical applications; by broadening participation in the ongoing research of how to develop and apply robust nature-inspired optimisation methods in different application areas.
Project web page:
Duration: 9.3.2016 - 8.3.2020

National projects

Automatic subtitling of audiovisual content for people with hearing impairments
Automatické titulkovanie audiovizuálneho obsahu pre osoby so sluchovým postihnutím
Program: APVV
Project leader: Ing. Rusko Milan PhD.
Duration: 1.7.2016 - 1.7.2018

Efektívna paralelná realizácia počítačovej simulácie požiarov
Program: VEGA
Project leader: RNDr. Glasa Ján CSc.
Duration: 1.1.2017 - 31.12.2019

MEMS - MEMS structures based on load cell
MEMS štruktúry na báze poddajných mechanizmov
Program: APVV
Project leader: Ing. Havlík Štefan DrSc.
Annotation:The project is focused on the analysis, synthesis and design of electromechanical sensors based on MEMS with wireless transmission of information about the sensed phenomena. Solution of the project will focus on exploring appropriate topology structures especially in relation to the proposal required parameters MEMS sensors. Comprehensive proposal includes a parallel proposal to both the mechanical and electrical parts of the sensor. When mechanical design emphasis will be placed on analysis modeling and linearisation characteristics of MEMS structures. The electric field of the settlement project focuses on analyzing the electromagnetic deja suitable for the transmission of information and supplement sensor electrical elements as to avoid compromising the required mechanical properties. The electric field due consideration to the topology of MEMS mechanical structures with its direct use for applying electrical elements.
Duration: 1.7.2015 - 30.6.2019

Methods and algorithms for the semantic processing of Big Data in distributed computing environment
Metódy a algoritmy pre sémantické spracovanie veľkých dát v distribuovanom výpočtovom prostredí
Program: VEGA
Project leader: doc. Ing. Hluchý Ladislav CSc.
Annotation:The research proposed in this project follows up on the successes achived in 7th FP projects in which most of the research team has participated: ADMIRE: Advanced Data Mining and Integration Research for Europe (2008-2011), Commius : Community-based Interoperability Utility for SMEs (2008-2011), VENIS: Virtual Enterprises by Networked Interoperability Services (2011-2015) and EGI-InSPIRE: Integrated Sustainable Pan-European Infrastructure for Researchers in Europe (2010-2014). Several case studies from these projects have created the motivation for research in the area of semantic processing of Big Data in a virtual computational environment. A big challenge in the proposed project will be to study new methods, approaches and algorithms. The proposal also builds on two previous VEGA projects: Selected methods, approaches and tools for distributed computing (2012-2015) and New methods and approaches on information processing and knowledge bases (2013-2015).
Duration: 1.1.2016 - 31.12.2019

- - Modelling and Control of Complex Discrete-Event Systems Containing Uncontrollable Events and Unobservable States
Modelovanie a riadenie zložitých udalostných systémov obsahujúcich neriaditeľné udalosti a nepozorovateľné stavy
Program: VEGA
Project leader: Doc. Ing. Čapkovič František CSc.
Duration: 1.1.2017 - 31.12.2020

MOPOTU - Models of formation and spread of fire to increase safety of road tunnels
Modely vzniku a šírenia požiarov na zvýšenie bezpečnosti cestných tunelov
Program: APVV
Project leader: RNDr. Glasa Ján CSc.
Annotation:The project is a significant contribution to increase of safety of road tunnels using computer simulation of fire spread based on modelling of complex processes related to fire by CFD technology. The aim of the project is to develop a series of computer simulations of fire scenarios suggested by customer organization in two road tunnels realized on high-performance computational infrastructure at Slovak Academy of Sciences. Research of proper method of parallelisation of simulation calculation with the aim to achieve substantial speedup of calculation without negative effect on the calculation accuracy, research on the impact of ventilation on stratification of smoke in tunnel tube and realization of experiments in two road tunnels in situ are the main parts of the project. Within the project, Tunnel Traffic and Operation Simulator (SRT) - a unique facility at University of Zilina will be extended by visualizations of smoke stratification in virtual tunnel tube in SRT in the case of fire developed by computer simulation on the basis of CFD models. The great benefit of this project will be also evidence of tunnel incidents and risk analysis according to achieved data. Implementation of the project will interconnect the knowledge, experience and researches of research teams of participating partners equipped with unique modern infrastructures obtained by ERDF EU with the aim to create innovative solutions to enhance the tunnel safety.
Duration: 1.7.2016 - 30.6.2019

Nanoštruktúrne tenkovrstvové materiály a inovatívne technológie pre MEMS senzory plynov a ťažkých kovov
Program: VEGA
Project leader: RNDr. Kostič Ivan
Duration: 1.1.2016 - 31.12.2019

New architectures for increasing the reliability of digital cores and systems
Nové architektúry na zvýšenie spoľahlivosti digitálnych jadier a systémov
Program: VEGA
Project leader: Ing. Baláž Marcel PhD.
Annotation:Complex systems integrated on a chip are becoming ubiquitous in many applications; so their operation must be reliable and resistant to failure, even though the nanotechnologies enhance their failure rate as a result of new fault mechanisms. Reliability of systems-on-chip (SoCs) is becoming a critical parameter and often could be achieved only at the expense of other parameters quality, such as consumption and chip area. The project aims to research on new architectures with built-in self-repair suited to different types of digital IP cores embedded in SoCs. In addition to standard cores such as processors, controllers, and other combinational cores, the project focuses on the so-called specialized cores, for which there are currently no methods to increase their reliability. The proposed architecture will be verified by simulation through the available software tools and experimentally using programmable devices. The results of the project will contribute to increasing reliability and life-cycle of SoCs.
Duration: 1.1.2015 - 31.12.2018

Networked control of heterogenous multi-agent systems.
Sieťové riadenie heterogénnych multi-agentových systémov.
Program: VEGA
Project leader: Ing. Zelenka Ján PhD.
Annotation:The project addresses interoperability within heterogeneous multi-agent systems that provide appropriate tools for modeling and simulation of complex distributed systems such as logistics systems, multi-robot systems, etc. The project aims to develop principles of control and design of unconventional and functional mechanisms for implementation of the tasks with regard to the specific capabilities of individual agents. In accordance with current demands on the quality of life and public safety, the project is focused on exploration of terrains and areas after accidents or natural disasters. The project is focused on systems composed of intelligent agents, whose context can be detected by sensory systems. Physical Internet and Internet of Things are also subjects of research in the frame of the project.
Duration: 1.1.2016 - 31.12.2018

TERAMEMS - Broadband MEMS detector of terahertz radiation
Širokopásmový MEMS detektor terahertzového žiarenia
Program: APVV
Project leader: Ing. Matay Ladislav PhD.
Annotation:The project is aimed on research and development of new types of broadband detectors for terahertz frequency range. This new type of detector is designed in a concept of micro-electro-mechanical system and uses the bolometric sensing principle. The design construction of the detector consists of a microbolometric sensing device coupled to a broadband antenna. Thermal conversion of the incident THz radiation takes place on a thin polyimide membrane which enables (a) to achieve high thermal conversion efficiency and (b) to design detectors with balanced amplitude characteristics even at high frequency range. The proposed MEMS detector concept will be optimized by a sophisticated process of modeling and simulation in direct mutual iteration with experimental analysis of functionality and detection capability. The completion of the project will be given by the developed state-of-the-art methodology of characterization, broadband THz detection and simulation of the MEMS detector device applicable in the research and education.
Duration: 1.7.2015 - 30.6.2018

Projects total: 15