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1
Content available Processing of satellite data in the cloud
Proficz J., Drypczewski K.
TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
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2017
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Vol. 21, No 4
365--377
EN
The dynamic development of digital technologies, especially those dedicated to devices generating large data streams, such as all kinds of measurement equipment (temperature and humidity sensors, cameras, radio-telescopes and satellites – Internet of Things) enables more in-depth analysis of the surrounding reality, including better understanding of various natural phenomenon, starting from atomic level reactions, through macroscopic processes (e.g. meteorology) to observation of the Earth and the outer space. On the other hand such a large quantitative improvement requires a great number of processing and storage resources, resulting in the recent rapid development of Big Data technologies. Since 2015, the European Space Agency (ESA) has been providing a great amount of data gathered by exploratory equipment: a collection of Sentinel satellites – which perform Earth observation using various measurement techniques. For example Sentinel-2 provides a stream of digital photos, including images of the Baltic Sea and the whole territory of Poland. This data is used in an experimental installation of a Big Data processing system based on the open source software at the Academic Computer Center in Gdansk. The center has one of the most powerful supercomputers in Poland – the Tryton computing cluster, consisting of 1600 nodes interconnected by a fast Infiniband network (56 Gbps) and over 6 PB of storage. Some of these nodes are used as a computational cloud supervised by an OpenStack platform, where the Sentinel-2 data is processed. A subsystem of the automatic, perpetual data download to object storage (based on Swift) is deployed, the required software libraries for the image processing are configured and the Apache Spark cluster has been set up. The above system enables gathering and analysis of the recorded satellite images and the associated metadata, benefiting from the parallel computation mechanisms. This paper describes the above solution including its technical aspects.
2
Category-based workload modeling for hardware load prediction in a heterogeneous IAAS cloud
Krawczyk H., Proficz J., Ziółkowski T.
Studia Informatica
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2016
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Vol. 37, nr 2
57--71
EN
The paper presents a method of hardware load prediction using workload models based on application categories and high-level characteristics. Application of the method to the problem of optimization of virtual machine scheduling in a heterogeneous Infrastructure as a Service (IaaS) computing cloud is described.
PL
Artykuł przedstawia metodę przewidywania obciążenia zasobów sprzętowych za pomocą modeli aplikacji opracowanych na podstawie kategoriii wysokopoziomowych charakterystyk. Opisano zastosowanie opracowanej metody do optymalizacji procesu alokacji zasobów sprzętowych dla maszyn wirtualnych w środowisku heterogenicznej chmury obliczeniowej typu Infrastructure as a Service (IaaS).
3
Content available KASKADA Platform in Cloud Environment
Krawczyk H., Proficz J., Daca B.
TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
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2015
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Vol. 19, No 4
371--386
EN
KASKADA is a computing platform for developing and running services and applications oriented to multimedia processing and data streaming. A solution for serving the platform in the PaaS model is presented. The paper briefly describes the software for creating the private cloud solutions and the components designed and implemented to enable hosting the platform in the cloud environment based on the OpenStack software. The cloud has been deployed to a supercomputer working in C2 NIWA at the Gdansk University of Technology. This article assumes the reader’s basic knowledge of the KASKADA platform.
4
Content available Tryton supercomputer capabilities for analysis of massive data streams
Krawczyk H., Nykiel M., Proficz J.
Polish Maritime Research
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2015
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nr 3
99--104
EN
The recently deployed supercomputer Tryton, located in the Academic Computer Center of Gdansk University of Technology, provides great means for massive parallel processing. Moreover, the status of the Center as one of the main network nodes in the PIONIER network enables the fast and reliable transfer of data produced by miscellaneous devices scattered in the area of the whole country. The typical examples of such data are streams containing radio-telescope and satellite observations. Their analysis, especially with real-time constraints, can be challenging and requires the usage of dedicated software components. We propose a solution for such parallel analysis using the supercomputer, supervised by the KASKADA platform, which with the conjunction with immerse 3D visualization techniques can be used to solve problems such as pulsar detection and chronometric or oil-spill simulation on the sea surface.
5
Content available remote A Parallel Genetic Algorithm for Creating Virtual Portraits of Historical Figures
Krawczyk H., Proficz J., Ziółkowski T.
TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
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2012
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Vol. 16, No 1-2
145-162
EN
In this paper we present a genetic algorithm (GA) for creating hypothetical virtual portraits of historical figures and other individuals whose facial appearance is unknown. Our algorithm uses existing portraits of random people from a specific historical period and social background to evolve a set of face images potentially resembling the person whose image is to be found. We then use portraits of the person’s relatives to judge which of the evolved images are most likely to resemble his/her actual appearance. Unlike typical GAs, our algorithm uses a new supervised form of fitness function which itself is affected by the evolution process. Additional description of requested facial features can be provided to further influence the final solution (i.e. the virtual portrait). We present an example of a virtual portrait created by our algorithm. Finally, the performance of a parallel implementation developed for the KASKADA platform is presented and evaluated.
6
Content available Parallel processing of multimedia streams
Krawczyk H., Bańczyk K, Proficz J.
Computer Applications in Electrical Engineering
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2010
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Vol. 8
9--25
EN
The paper presents a new multimedia processing platform: KASKADA. The design of the platform is described: the diagram of main classes, the sequence diagram illustrating their cooperation during the processing of multimedia streams, and the details of the intertask communication mechanism. We also present the framework supporting algorithm development, a service scenario definition, and provide evaluation of the platform usability.
7
Dobór usług WWW w środowisku SOA
Krawczyk H., Proficz J.
Metody Informatyki Stosowanej
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2008
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nr 3 (Tom 16)
159--165
EN
A new way of service selection using heuristic evaluation of its attributes was provided. A selection algorithm and a neural network evaluating a particular service were presented. The described solution was illustrated by an example of sending a message.
8
Serwery aplikacji - nowa forma dostarczania usług sieciowych.
Krawczyk H., Proficz J., Matuszek M.
Studia Informatica
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2001
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Vol. 22, nr 1
61-71
PL
W pracy podano główne problemy projektowania serwerów aplikacji zapewniających właściwą realizację i utrzymanie różnych usług w środowisku sieciowym w oparciu o standard J2EE. Zaprezentowano architekturę oraz poszczególne komponenty takiego serwera oraz przedyskutowano metodologię tworzenia użytkowych aplikacji w takim środowisku.
EN
The paper gives basic problems of application server design, in order to achieve proper execution and maintenance of various user services in a networked environment. Elements of J2EE standards are described and suitable server architecture and its components are presented. Developing methodology of networked user application is also discussed.
9
Symulacyjna metoda analizy zależności czasowych w aplikacjach rozproszonych.
Krawczyk H., Proficz J.
Zeszyty Naukowe. Informatyka / Politechnika Śląska
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1998
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z. 34
79-88
PL
Przedstawiono symulator pracujący w środowisku PVM analizujący zachowanie się wykonywanej aplikacji w zależności od zmian czasu komunikacji. Umożliwia on wykrycie anomalii uwarunkowanych czasowo (wyścigi, zakleszczenia) już na etapie projektowania architektury aplikacji rozproszonej.
EN
We perform a simulator working in PVM environment, which analyses behaviour of the application according to the change of communication time. It enables time dependent anomalies detection (races, deadlocks), alredy in the designing of thwe application architecture.
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