GRID COMPUTING FOR COLLABORATIVE NETWORKS: A LITERATURE REVIEW

This paper describes the methodology and results of a literature review targeting the distinct interpretations of the Grid Computing paradigm within the context of Collaborative Networks. The review is based on the analysis of contributions published in selected scientific journals between 2002 and today. The analysis was performed taking into account the assumptions, scopes and solutions provided to approach the challenges for SMEs’ collaborative networks. The research questions driving this literature review have been the following: (1) How is the concept of Grid Computing associated with the concept of Collaborative Network? (2) How the Grid computing supports Collaborative Networks? (3) What are the business implications in Grid supported Collaborative Networks

Analysis of the Management Positions Gender Structure in Sports Organizations in Slovakia

The aim of the presented paper is to capture the gender aspects of sports culture through the gender structure of Slovakia's national sports organizations members and their management positions. In order to fulfill the aim of the paper, a hierarchical cluster analysis was applied using IBM SPSS Statistics. As a part of this analysis, due to the cardinality of the input variables, the Euclidean distance measurement method and the Ward method were used. The results of the research examining 65 national sports organizations in Slovakia confirmed that the gender in Slovak organized sports is manifested on the one hand by the dominance of men in the membership of sports organizations, with the exception of sports those are explicitly understood as female, but also in the representation on the management and decision-making positions. Furthermore, we managed to find out that there is a relationship between the gender structure of the membership base and the gender structure in management and decision-making positions, which is reciprocal and at the same time asymmetrical. Doi: 10.28991/HIJ-2022-03-04-04 Full Text: PD

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An Indexation and Discovery Architecture for Semantic Web Services and its Application in Bioinformatics

Recently much research effort has been devoted to the discovery of relevant Web services. It is widely recognized that adding semantics to service description is the solution to this challenge. Web services with explicit semantic annotation are called Semantic Web Services (SWS). This research proposes an indexation and discovery architecture for SWS, together with a prototype application in the area of bioinformatics. In this approach, a SWS repository is created and maintained by crawling both ontology-oriented UDDI registries and Web sites that hosting SWS. For a given service request, the proposed system invokes the matching algorithm and a candidate set is returned with different degree of matching considered. This approach can add more flexibility to the current industry standards by offering more choices to both the service requesters and publishers. Also, the prototype developed in this research shows the value can be added by using SWS in application areas such as bioinformatics

Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)

The Helmholtz Association funded the "Large-Scale Data Management and Analysis" portfolio theme from 2012-2016. Four Helmholtz centres, six universities and another research institution in Germany joined to enable data-intensive science by optimising data life cycles in selected scientific communities. In our Data Life cycle Labs, data experts performed joint R&D together with scientific communities. The Data Services Integration Team focused on generic solutions applied by several communities