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1

Rotation Invariance in Graph Convolutional Networks

Mac Nguyen Anh, Nguyen Hung Son

Annals of Computer Science and Information Systems

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2021

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Vol. 25

81--90

EN

Convolution filters in deep convolutional networks display rotation variant behavior. While learned invariant behavior can be partially achieved, this paper shows that current methods of utilizing rotation variant features can be improved by proposing a grid-based graph convolutional network. We demonstrate that Grid-GCN heavily outperforms existing models on rotated images, and through a set of ablation studies, we show how the performance of Grid-GCN implies that there exist more performant methods to utilize fundamentally rotation variant features and we conclude that the inherit nature of spectral graph convolutions is able to learn invariant behavior.

2

Replica Selection Algorithm in Data Grids: the Best-Fit Approach

Jaradat A.

Advances in Science and Technology. Research Journal

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2021

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Vol. 15, no 4

30--37

EN

The design of Data Grids allows grid facilities to manage data files and their corresponding replicas from all around the globe. Replica selection in Data Grids is a complex service that selects the best replica place amongst several scattered places based on quality of service parameters. All replica selection algorithms look for the best replica for the requesting users without taking into account the limitation of their network or hardware capabilities to find the best fit. This leaves capable users with limited ability to connect with the best replica places without fully utilizing their download speed. It furthermore compromises the best replica places and shifts capable users to lower quality replica places and degrades the whole Data Grid environment. To improve quality of service parameters the solution we propose is, a matching algorithm that matches the capabilities of grid user with replica providers that are the best fit. This best-fit approach takes into account both the capabilities of grid users and the capabilities of replica places and creates matches of almost similar capabilities. Simulation results proved that the best-fit algorithm outperforms previous replica selection algorithms.

3

A Contemplating approach for Hive and Map reduce for efficient Big Data Implementation

Sasubilli G., Sekhar U. S., Sharma S., Sharma S.

Annals of Computer Science and Information Systems

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2018

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Vol. 14

131--135

EN

In the reference current scenario, data is incremented exponentially and speed of data accruing at the rate of petabytes. Big data defines the available amount of data over the different media or wide communication media internet. Big Data term refers to the explosion in the quantity (and quality) of available and potentially relevant data. On the basis of quantity amount of data are very huge and this quantity has been handled by conventional database systems and data warehouses because the amount of data increases similarly complexity with it also increases. Multiple areas are involved in the production, generation, and implementation of Big Data such as news media, social networking sites, business applications, industrial community, and much more. Some parameters concern with the handling of Big Data like Efficient management, proper storage, availability, scalability, and processing. Thus to handle this big data, new techniques, tools, and architecture are required. In the present paper, we have discussed different technology available in the implementation and management of Big Data. This paper contemplates an approach formal tools and techniques used to solve the major difficulties with Big Data, This evaluate different industries data stock exchange to covariance factor and it tells the significance of data through covariance positive result using hive approach and also how much hive approach is efficient for that in the term of HDFS and hive query. and also evaluates the covariance factors after applying hive and map reduce approaches with stock exchange dataset of around 3500. After process data with the hive approach we have conclude that hive approach is better than map reduce and big table in terms of storage and processing of Big Data.

4

Obliczenia w chmurze i obliczenia gridowe

Dietrich A.

Nafta-Gaz

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2016

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R. 72, nr 12

1150--1155

PL

Celem artykułu jest przegląd nowych technologii informatycznych, a w szczególności tych, które mają wpływ na obliczenia o dużej złożoności i wymagające użycia sporych mocy obliczeniowych. Zaprezentowano możliwości obliczeń w chmurze i obliczeń gridowych. Przedstawiono przykłady gridów i chmur obliczeniowych. Wskazano na korzyści płynące dla nauki i przemysłu ze stosowania nowych technologii obliczeń.

EN

The objective of this paper is to give an overview of new information technologies, particular those which influence high complex computing and require the use of considerable computing power. This article presents possibilities of cloud and grid computing. The grid and cloud computing applications and implementations are presented. It points out the benefits that science and industry have gained, due to the application of new computing technologies.

5

Computational challenges in the measurement of heavy-ion collision event characteristics with the atlas experiment at the LHC

Burka K., Bold T., Grabowska-Bold I.

Computer Science

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2015

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Vol. 16 (1)

39--54

EN

Heavy-ion collisions at extreme energies are expected to recreate conditions present in the early universe, producing a state of matter called the Quark Gluon Plasma (QGP). This state is characterized by very low viscosity resembling the properties of a perfect fluid. In such a medium, density fluctuations can easily propagate. In experimental practice, the size of these fluctuations is estimated by measuring the angular correlation of the particles produced. The aim of this paper is to present results of the measurements of the azimuthal anisotropy of charged particles produced in heavy-ion collisions with the ATLAS detector using the LHC Grid infrastructure for bulk processing of the data and resources available at the Tier-2 computing center for the final analysis stage.

6

Grid computing and Cloud computing in scope of JADE and OWL based Semantic Agents – A Survey

Rogoza V., Zabłocki M.

Przegląd Elektrotechniczny

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2014

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R. 90, nr 2

93--96

EN

This work is an overview of the state of art of distributed computing in scope of the new trends in artificial computational intelligence. Grid computing as main ingredient of cloud computing is most vulnerable to the positive effect of connection with multi-agent systems. The Web Semantic Language (OWL) can help to provide structured semantic description of the existential environment for agent and support them in processing knowledge which gives agent better ability to reasoning and acting in intelligent manner.

PL

Niniejsza praca jest próbą zobrazowania stanu techniki obliczeń rozproszonych pod kątem nowych trendów w dziedzinie sztucznej inteligencji. Grid jako główny składnik Chmury obliczeniowej jest najbardziej podatny na pozytywny efekt połączenia z systemami wieloagentowymi. Język opisu Semantycznej Sieci (OWL) może przyczynić się do zapewnienia strukturyzowanego opisu środowiska egzystencjalnego dla agentów, przez co wesprzeć ich w efektywniejszym rozumowaniu i działaniu w inteligentny sposób.

7

Uncertainty-tolerant scheduling strategies for grid computing: knowledge-based techniques with bio-inspired learning

García-Galán S, Prado R, Expósito J E

Image Processing & Communications

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2013

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Vol. 18, no. 1

37--44

EN

Nowadays, diverse areas in science as high energy physics, astronomy or climate research are increasingly relying on experimental studies addressed with hard computing simulations that cannot be faced with traditional distributed systems. In this context, grid computing has emerged as the new generation computing platform based on the large-scale cooperation of resources. Furthermore, the use of grid computing has also been extended to several technology, engineering or economy areas such as financial services and construction engineering that demand high computer capabilities. Nevertheless, a major issue in the sharing of resources is the scheduling problem in a high-dynamic and uncertain environment where resources may become available, inactive or reserved over time according to local policies or systems failures. In this paper, a review of scheduling strategies dealing with uncertainty in systems information by the application of techniques such as fuzzy logic, neural networks or evolutionary algorithms is presented. Furthermore, this work is centered on the study of scheduling strategies based on fuzzy rulebased systems given their flexibility and ability to adapt to changes in grid systems. These knowledge-based strategies are founded on a fuzzy characterization of the system state and the application of the scheduler knowledge in the form of fuzzy rules to cope with the imprecise environment. Obtaining good rules also arises as a challenging problem. Hence, the main learning methods that allow the improvement and adaptation of the expert schedulers are introduced.

8

Weballted : interdisciplinary modeling in grid and cloud

Zgurovsky M., Petrenko A., Ladogubets V., Finogenov O., Bulakhova B.

Computer Science

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2013

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Vol. 14 (2)

295--306

EN

This paper presents a multi-layered architecture of computer simulation software capable of utilizing grid and cloud resources, characterized in that the functionality of the system is distributed according to a service-oriented approach, and the system supports the execution of custom user-defined computing scenarios in grid or in cloud (by web services orchestration with an adherence to existing standards) but hides the complexity of direct web services management from the user with the help of the abstract workflow model and a web-accessible problem solving environment with a graphical workflow editor.

9

The application of a noise mapping tool deployed in grid infrastructure for creating noise maps of Urban areas

Szczodrak M., Kotus J., Czyżewski A., Kostek B.

Computer Science

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2013

|

Vol. 14 (2)

231--242

EN

The concept and implementation of the system for creating dynamic noise maps in PL-Grid infrastructure are presented. The methodology of dynamic acoustical map screating is introduced. The concept of noise mapping, based on noise source and propagation models, was developed and employed in the system. The details of incorporation of the system to the PL-Grid infrastructure are presented. The results of simulations performed by the system prototype are depicted. The results in the form of noise maps obtained by a system are compared with some other solutions in order to investigate accuracy.

10

Creating Dynamic Maps of Noise Threat Using PL-Grid Infrastructure

Szczodrak M., Kotus J., Kostek B., Czyżewski A.

Archives of Acoustics

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2013

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Vol. 38, No. 2

235--242

EN

The paper presents functionality and operation results of a system for creating dynamic maps of acoustic noise employing the PL-Grid infrastructure extended with a distributed sensor network. The work presented provides a demonstration of the services being prepared within the PLGrid Plus project for measuring, modeling and rendering data related to noise level distribution in city agglomerations. Specific computational environments, the so-called domain grids, are developed in the mentioned project. For particular domain grids, specialized IT solutions are prepared, i.e. software implementation and hardware (infrastructure adaptation), dedicated for particular researcher groups demands, including acoustics (the domain grid “Acoustics”). The infrastructure and the software developed can be utilized mainly for research and education purposes, however it can also help in urban planning. The engineered software is intended for creating maps of noise threat for road, railways and industrial sources. Integration of the software services with the distributed sensor network enables automatic updating noise maps for a specific time period. The unique feature of the developed software is a possibility of evaluating auditory effects which are caused by the exposure to excessive noise. The estimation of auditory effects is based on calculated noise levels in a given exposure period. The outcomes of this research study are presented in a form of the cumulative noise dose and the characteristics of the temporary threshold shift.

11

Parallel and distributed implementation of optimization algorithms in fe analyses

Handrik M., Vasko M., Kopas P.

Zeszyty Naukowe. Transport / Politechnika Śląska

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2012

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z. 76

67--74

EN

The aim of this paper is analysis of optimization algorithms in terms of their possible solutions in parallelization and distributed computing systems. Main goal is using of evolutionary algorithms and implementation of parallel algorithms. As the software platform for application of distributed optimization algorithms is using software package BOINC. For evaluation of the objective function is used FEM program ADINA.

PL

Artykuł analizuje algorytmy optymalizacyjne pod kątem ich możliwości obliczeń równoległych oraz rozproszonych systemów obliczeniowych. Ukierunkowany jest przede wszystkim na algorytmy ewolucyjne oraz ich implementację równoległą. Jako platforma softwarowa do zastosowania rozproszonego systemu obliczeniowego algorytmu zostało zastosowane oprogramowanie pośredniczące BOINC. W celu oceny funkcji docelowej został zastosowany w MES program ADINA.

12

SLA-based job submission and scheduling with the Globus Toolkit 4

Tenschert A., Kubert R.

Computer Science

|

2012

|

Vol. 13 (4)

183-204

EN

High performance computing is nowadays mostly performed in a best effort fashion. This is surprising as the closely related topic of grid computing, which deals with the federation of resources from multiple domains in order to support large jobs, and cloud computing, which promises seemingly infinite amounts of compute and storage, both offer quality of service (QoS), albeit in different ways. Long-term service level agreements (SLAs), which require the establishment of SLAs long in advance of their actual usage, seem a promising way for the offering of QoS guarantees in an HPC environment in a way that is not disruptive to the business models employed today. This work uses the long-term SLA approach as a basis for the provisioning of service levels for HPC resources and presents an SLA management framework to support this. Flexibility is provided by providing SLAs with different service levels, support for which is integrated into job submission and scheduling. The SLA management framework can, on a high level, be used in a generic fashion and an implementation is presented that is evaluated against a motivating scenario.

13

Virtual systems in business and educational processes

Łosowski Piotr

Studia i Materiały Informatyki Stosowanej

|

2011

|

nr 4

31--40

EN

The aim of this article was to look through new business concepts in IT, to define them, to see the services offered and the possibilities of use in practice. New technology ideas puts IT as a service. Great distraction of information and intelligent tools makes them ineffective and takes low advantage of them. Grid and Cloud Computing are the latest concepts in IT and offers the agility to business and universities as well. In other words, because of virtualization and abstraction the processes that occurs in these institutions can be managed swiftly, easily and effectively. Allows to make the most of company's resources. Physical locations of resources can be flexibly bounded and adjusted to current needs. Globalization and rapidly growing competition is forcing to apply the most innovative solutions. Taking in consideration the universities it is even more important when thinking of students as future human capital ,which should know the possibilities and be prepared the best. Sharing of computing, data centers, applications etc. on demand provides more powerful tools, more organized work and higher scalability and flexibility through inclusion of external resources. Grid and Cloud Computing have the potential to provide an IT infrastructure that addresses the demands of business while utilizing the IT resources most efficiently and cost-effectively.

14

Data intensive scientific analysis with grid computing

Terzo O., Mossucca L., Cucca M., Notarpietro R.

International Journal of Applied Mathematics and Computer Science

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2011

|

Vol. 21, no 2

219-228

EN

At the end of September 2009, a new Italian GPS receiver for radio occultation was launched from the Satish Dhawan Space Center (Sriharikota, India) on the Indian Remote Sensing OCEANSAT-2 satellite. The Italian Space Agency has established a set of Italian universities and research centers to implement the overall processing radio occultation chain. After a brief description of the adopted algorithms, which can be used to characterize the temperature, pressure and humidity, the contribution will focus on a method for automatic processing these data, based on the use of a distributed architecture. This paper aims at being a possible application of grid computing for scientific research.

15

Towards a grid infrastructure for hydro-meteorological research

Schiffers M., Kranzlmuller D., Clematis A., D'Agostino D., Galizia A., Quarati A., Parodi A., Morando M., Rebora N., Trasforini E., Molini L., Siccardi F., Craig G., Tafferner A.

Computer Science

|

2011

|

Vol. 12

45-62

EN

The Distributed Research Infrastructure for Hydro-Meteorological Study (DRIHMS) is a co-ordinated action co-funded by the European Commission. DRIHMS analyzes the main issues that arise when designing and setting up a pan-European Grid-based e-Infrastructure for research activities in the hydrologic and meteorological fields. The main outcome of the project is represented first by a set of Grid usage patterns to support innovative hydro-meteorological research activities, and second by the implications that such patterns define for a dedicated Grid infrastructure and the respective Grid architecture.

PL

Rozproszona infrastruktura naukowa przeznaczona do badań hydrometeorologicznych (Distributed Research Infrastructure for Hydro-Meteorological Study - DRIHMS) stanowi element skoordynowanej akcji współfinansowanej przez Komisję Europejską. Celem DRIHMS jest analiza głównych problemów spotykanych w dziedzinie hydrologii i meteorologii. Głównym wynikiem projektu będzie zestaw wzorców użytkowania środowisk gridowych w celu wspomagania nowoczesnych badań hydrometeorologicznych oraz wnioski wynikające z powyższego zastosowania, mogące mieć wpływ na dalszy rozwój dedykowanych rozwiązań gridowych.

16

Przetwarzanie siatkowe przy wykorzystaniu bazy danych Oracle 11G

Joszczuk-Januszewska J.

Prace Wydziału Nawigacyjnego Akademii Morskiej w Gdyni

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2010

|

Z. 24

31-38

PL

Celem artykułu jest prezentacja głównych funkcji i narzędzi wspomagających technologię przetwarzania siatkowego (ang. grid computing), jakie zawiera baza danych Oracle 11g Enterprise Edition w wydaniu 1 i 2, a zwłaszcza tych, które zwiększają sprawność energetyczną centrum danych. Znaczny wzrost zakresu i mocy takiego centrum wyraźnie zwiększył jego konsumpcję energii, co wiąże się z problemem ekologicznego przetwarzania (ang. green computing) oraz przedstawieniem korzyści wynikających z zastosowania czterech nowych opcji (Real Application Testing, Total Recall, Active Data Guard, Advanced Compression) bazy danych Oracle 11g Enterprise Edition w wydaniu 1 i innowacji w wydaniu 2 tej bazy na potrzeby przetwarzania siatkowego.

EN

The goal of this article is the presentation of main functions and tools, which are contained in the database Oracle 11g Enterprise Edition Release 1 and 2, supporting grid computing technology, specially these of improving the energy efficiency of the data centre. The visible increase of the range and the power of such centre significantly enlarged his consumption of the energy, what ties in with the problem of green computing and the presentation of advantages from the use of four new options (Real Application Testing, Total Recall, Active Data Guard, Advanced Compression) of the database Oracle 11g Enterprise Edition Release 1 and innovations in Release 2 for needs of grid computing.

17

Środowiska zwirtualizowane w zarządzaniu procesami biznesowymi i edukacyjnymi

Łosowski P.

Metody Informatyki Stosowanej

|

2010

|

nr 4 (24)

125-141

EN

The aim of this article was to look through new business concepts in IT, to define them, to see the services offered and the possibilities of use in practice. New technology ideas puts IT as a service. Great distraction of information and intelligent tools makes them ineffective and takes low advantage of them. Grid and Cloud Computing are the latest concepts in IT and offers the agility to business and universities as well. In other words, because of virtualization and abstraction the processes that occurs in these institutions can be managed swiftly, easily and effectively. Allows to make the most of company's resources. Physical locations of resources can be flexibly bounded and adjusted to current needs. Globalization and rapidly growing competition is forcing to apply the most innovative solutions. Taking in consideration the universities it is even more important when thinking of students as future human capital ,which should know the possibilities and be prepared the best. Sharing of computing, data centers, applications etc. on demand provides more powerful tools, more organized work and higher scalability and flexibility through inclusion of external resources. Grid and Cloud Computing have the potential to provide an IT infrastructure that addresses the demands of business while utilizlng the IT resources most efficiently and cost-effectively.

18

Two implementations of the preconditioned conjugate gradient method on heterogeneous computing grids

Collignon T. P., Van Gijzen M. B.

International Journal of Applied Mathematics and Computer Science

|

2010

|

Vol. 20, no 1

109-121

EN

Efficient iterative solution of large linear systems on grid computers is a complex problem. The induced heterogeneity and volatile nature of the aggregated computational resources present numerous algorithmic challenges. This paper describes a case study regarding iterative solution of large sparse linear systems on grid computers within the software constraints of the grid middleware GridSolve and within the algorithmic constraints of preconditioned Conjugate Gradient (CG) type methods. We identify the various bottlenecks induced by the middleware and the iterative algorithm. We consider the standard CG algorithm of Hestenes and Stiefel, and as an alternative the Chronopoulos/Gear variant, a formulation that is potentially better suited for grid computing since it requires only one synchronisation point per iteration, instead of two for standard CG. In addition, we improve the computation-to-communication ratio by maximising the work in the preconditioner. In addition to these algorithmic improvements, we also try to minimise the communication overhead within the communication model currently used by the GridSolve middleware. We present numerical experiments on 3D bubbly flow problems using heterogeneous computing hardware that show lower computing times and better speed-up for the Chronopoulos/Gear variant of conjugate gradients. Finally, we suggest extensions to both the iterative algorithm and the middleware for improving granularity.

19

Science on the TeraGrid

Katz D. S., Callaghan S., Harkness R., Jha S., Kurowski K., Manos S., Pamidighantam S., Pierce M., Plale B., Song C., Towns J.

Computational Methods in Science and Technology

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2010

|

Vol. spec. iss. (1)

81-97

EN

The TeraGrid is an advanced, integrated, nationally-distributed, open, user-driven, US cyberinfrastructure that enables and supports leading edge scientific discovery and promotes science and technology education. It comprises supercomputing resources, storage systems, visualization resources, data collections, software, and science gateways, integrated by software systems and high bandwidth networks, coordinated through common policies and operations, and supported by technology experts. This paper discusses the TeraGrid itself, examples of the science that is occurring on the TeraGrid today, and applications that are being developed to perform science in the future.

20

Parallel Large Scale Simulations in the PL-Grid Environment

Kurowski K., Piontek T., Kopta P., Mamoński M., Bosak B.

Computational Methods in Science and Technology

|

2010

|

Vol. spec. iss. (1)

47-56

EN

The growing demand for computational power causes that Grids are becoming mission-critical components in research and industry, offering sophisticated solutions in leveraging large-scale computing and storage resources. The nature a Grid in which resources are usually shared among multiple organizations offering resources under their control based on the “best effort” approach with no guarantee concerning the quality-of-service may be inadequate to support large-scale simulations. Requirements of such simulations often exceed capabilities of a single computing center causing the need to simultaneously allocate and synchronize resources belonging to many administrative domains whose functionality is missing in leading grid middlewares preventing researchers from executing large-scale simulations in grids. The paper presents tools and services that were designed to build multilayered infrastructure capable of dealing with computationally intensive large-scale simulations in the grid environment. The developed and deployed middleware enables computing clusters in different administrative domains to be virtually welded into a single powerful compute resource that can be treated as a quasi-opportunistic supercomputer. We describe the middleware developed in the QosCosGrid project and being enhanced under the PL-Grid national grid initiative, which provides advance reservation and resource co-allocation functionality as well as support for parallel large-scale applications based on OpenMPI (for C/C++ and Fortran) or ProActive for Java.