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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

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.

3

Modern approaches to modeling user requirements on resource and task allocation in hierarchical computational grids

Kołodziej J., Xhafa F.

International Journal of Applied Mathematics and Computer Science

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2011

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Vol. 21, no 2

243-257

EN

Tasks scheduling and resource allocation are among crucial issues in any large scale distributed system, including Computational Grids (CGs). These issues are commonly investigated using traditional computational models and resolution methods that yield near-optimal scheduling strategies. One drawback of such approaches is that they cannot effectively tackle the complex nature of CGs. On the one hand, such systems account for many administrative domains with their own access policies, user privileges, etc. On the other, CGs have hierarchical nature and therefore any computational model should be able to effectively express the hierarchical architecture in the optimization model. Recently, researchers have been investigating the use of game theory for modeling user requirements regarding task and resource allocation in grid scheduling problems. In this paper we present two general non-cooperative game approaches, namely, the symmetric non-zero sum game and the asymmetric Stackelberg game for modeling grid user behavior defined as user requirements. In our game-theoretic approaches we are able to cast new requirements arising in allocation problems, such as asymmetric users relations, security and reliability restrictions in CGs. For solving the games, we designed and implemented GA-based hybrid schedulers for approximating the equilibrium points for both games. The proposed hybrid resolution methods are experimentally evaluated through the grid simulator under heterogeneity, and large-scale and dynamics conditions. The relative performance of the schedulers is measured in terms of the makespan and flowtime metrics. The experimental analysis showed high efficiency of meta-heuristics in solving the game-based models, especially in the case of an additional cost of secure task scheduling to be paid by the users.

4

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

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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.

5

Przetwarzanie siatkowe przy wykorzystaniu bazy danych Oracle 11G

Joszczuk-Januszewska J.

Prace Wydziału Nawigacyjnego Akademii Morskiej w Gdyni

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2010

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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.

6

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

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2010

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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.

7

Technologia przetwarzania siatkowego jako innowacyjne rozwiązanie dla logistyki

Joszczuk-Januszewska J.

Logistyka

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2009

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nr 3

CD-CD

PL

Głównym celem jest przedstawienie współczesnych wyzwań w logistyce i zarządzaniu łańcuchem dostaw z punktu widzenia innowacyjnych rozwiązań. Jednym z takich rozwiązań jest technologia przetwarzania siatkowego, którą opisano w referacie. Kluczowe korzyści oferowane przez tę technologię zilustrowano poprzez doświadczenia przedsiębiorstwa logistycznego stosującego przetwarzanie siatkowe realizowane przez korporację Oracle.

EN

The main objective is to present contemporary challenges in logistics and supply chain management from the point of view of innovative solutions. One of this solution is grid computing technology described in the paper. Key advantages offer by this technology are illustrated by experiences of logistics enterprise with Oracle's approach to grid computing.

8

Analiza możliwości przetwarzania siatkowego i jego zastosowania w wybranych przedsiębiorstwach

Joszczuk-Januszewska J.

Prace Wydziału Nawigacyjnego Akademii Morskiej w Gdyni

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2008

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Z. 22

37-44

PL

Przetwarzanie siatkowe, stanowiące kolejny etap rozproszonego przetwarzania danych, wkroczyło do przedsiębiorstw. Na przykładzie firmy Oracle, z pakietem produktów oprogramowania Oracle 10g, artykuł prezentuje analizę możliwości przetwarzania siatkowego i jego zastosowania w wybranych przedsiębiorstwach z branży telekomunikacyjnej, finansowej, zaawansowanych technologii, użyteczności publicznej oraz transportowej. Analiza ta pozwoliła sformułować wytyczne dla przedsiębiorstw zainteresowanych wymienionym przetwarzaniem.

EN

The grid computing, determining the following stage of the distributed computing enters to enterprises. By example of firm Oracle with Oracle 10g family of software products paper presents analysis of the possibilities of the grid computing and his uses in chosen sectors of enterprises such as: telecommunications, financial services, high technology, utilities, and transportation. This analysis permitted to formulate guidelines for enterprises interested in deployment grid computing.

9

Przetwarzanie rozproszone na przykładzie gird computimg

Murlewski J., Wojciechowski J., Napieralski A.

Mikroelektronika i Informatyka : prace naukowe

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2005

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Z. nr 5

85-88

PL

Grid computing stanowi nowoczesny sposób rozproszonego przetwarzania danych wykorzystującego moc komputerów połączonych siecią. Przetwarzanie siatkowe uważa się obecnie za jedną z najciekawszych, a zarazem najszybciej rozwijającej się koncepcji używania komputerów. W artykule zostanie zaprezentowana ogólna koncepcja gridu oraz możliwość jego zastosawania w obszarze baz danych na przykładzie Gracle Database Server 10g.