12,194 research outputs found
Enabling quantitative data analysis through e-infrastructures
This paper discusses how quantitative data analysis in the social sciences can engage with and exploit an e-Infrastructure. We highlight how a number of activities which are central to quantitative data analysis, referred to as ‘data management’, can benefit from e-infrastructure support. We conclude by discussing how these issues are relevant to the DAMES (Data Management through e-Social Science) research Node, an ongoing project that aims to develop e-Infrastructural resources for quantitative data analysis in the social sciences
Montage: a grid portal and software toolkit for science-grade astronomical image mosaicking
Montage is a portable software toolkit for constructing custom, science-grade
mosaics by composing multiple astronomical images. The mosaics constructed by
Montage preserve the astrometry (position) and photometry (intensity) of the
sources in the input images. The mosaic to be constructed is specified by the
user in terms of a set of parameters, including dataset and wavelength to be
used, location and size on the sky, coordinate system and projection, and
spatial sampling rate. Many astronomical datasets are massive, and are stored
in distributed archives that are, in most cases, remote with respect to the
available computational resources. Montage can be run on both single- and
multi-processor computers, including clusters and grids. Standard grid tools
are used to run Montage in the case where the data or computers used to
construct a mosaic are located remotely on the Internet. This paper describes
the architecture, algorithms, and usage of Montage as both a software toolkit
and as a grid portal. Timing results are provided to show how Montage
performance scales with number of processors on a cluster computer. In
addition, we compare the performance of two methods of running Montage in
parallel on a grid.Comment: 16 pages, 11 figure
Development of Grid e-Infrastructure in South-Eastern Europe
Over the period of 6 years and three phases, the SEE-GRID programme has
established a strong regional human network in the area of distributed
scientific computing and has set up a powerful regional Grid infrastructure. It
attracted a number of user communities and applications from diverse fields
from countries throughout the South-Eastern Europe. From the infrastructure
point view, the first project phase has established a pilot Grid infrastructure
with more than 20 resource centers in 11 countries. During the subsequent two
phases of the project, the infrastructure has grown to currently 55 resource
centers with more than 6600 CPUs and 750 TBs of disk storage, distributed in 16
participating countries. Inclusion of new resource centers to the existing
infrastructure, as well as a support to new user communities, has demanded
setup of regionally distributed core services, development of new monitoring
and operational tools, and close collaboration of all partner institution in
managing such a complex infrastructure. In this paper we give an overview of
the development and current status of SEE-GRID regional infrastructure and
describe its transition to the NGI-based Grid model in EGI, with the strong SEE
regional collaboration.Comment: 22 pages, 12 figures, 4 table
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Business Grid Services
Grid services have come to represent the synthesis of web services and grid computing paradigms. Web services provide the means to modularize software, enabling loosely coupled and novel synthesis. Grid computing removes the binding between functional software components and specific hosting hardware, enabling software to be deployed dynamically over a network (e.g. intra-, extra- or inter-net). Applying the constructs of grid computing to the service orientation of enterprise software will allow business service networks to utilize more specialized services. An upper service ontology that enables business grid services to be described and then related to the grid hosting platform is presented. Explicit knowledge is required for enterprise software, hosting servers and the domain that can then be utilized by both SLA and reservation systems. The ontology presented is derived from and validated using a collection of web services taken from leading investment banks
Workflow Repository Integration with the P-GRADE Portal
Grid computing is a field of research focused on providing large-scale infrastructures with shared resources. These infrastructures allow researchers around the world to execute their computationally intensive applications. However, the current state of Grid computing lacks a widespread, easy-to-access solution for sharing these complex applications. The goal of this project was to integrate a repository service with the P-GRADE Portal, a gateway to multiple Grids, in an effort to promote collaboration between individual Grid users as well as research communities
Számítóháló alkalmazások teljesítményanalízise és optimalizációja = Performance analysis and optimisation of grid applications
Számítóhálón (griden) futó alkalmazások, elsősorban workflow-k hatékony végrehajtására kerestünk újszerű megoldásokat a grid teljesítményanalízis és optimalizáció területén. Elkészítettük a Mercury monitort a grid teljesítményanalízis követelményeit figyelembe véve. A párhuzamos programok monitorozására alkalmas GRM monitort integráltuk a relációs adatmodell alapú R-GMA grid információs rendszerrel, illetve a Mercury monitorral. Elkészült a Pulse, és a Prove vizualizációs eszköz grid teljesítményanalízist támogató verziója. Elkészítettünk egy state-of-the-art felmérést grid teljesítményanalízis eszközökről. Kidolgoztuk a P-GRADE rendszer workflow absztrakciós rétegét, melyhez kapcsolódóan elkészült a P-GRADE portál. Ennek segítségével a felhasználók egy web böngészőn keresztül szerkeszthetnek és hajthatnak végre workflow alkalmazásokat számítóhálón. A portál különböző számítóháló implementációkat támogat. Lehetőséget biztosít információ gyűjtésére teljesítményanalízis céljából. Megvizsgáltuk a portál erőforrás brókerekkel való együttműködését, felkészítettük a portált a sikertelen futások javítására. A végrehajtás optimalizálása megkövetelheti az alkalmazás egyes részeinek áthelyezését más erőforrásokra. Ennek támogatására továbbfejlesztettük a P-GRADE alkalmazások naplózhatóságát, és illesztettük a Condor feladatütemezőjéhez. Sikeresen kapcsoltunk a rendszerhez egy terhelés elosztó modult, mely képes a terheltségétől függően áthelyezni a folyamatokat. | We investigated novel approaches for performance analysis and optimization for efficient execution of grid applications, especially workflows. We took into consideration the special requirements of grid performance analysis when elaborated Mercury, a grid monitoring infrastructure. GRM, a performance monitor for parallel applications, has been integrated with R-GMA, a relational grid information system and Mercury as well. We developed Pulse and Prove visualisation tools for supporting grid performance analysis. We wrote a comprehensive state-of-the art survey of grid performance tools. We designed a novel abstraction layer of P-GRADE supporting workflows, and a grid portal. Users can draft and execute workflow applications in the grid via a web browser using the portal. The portal supports multiple grid implementations and provides monitoring capabilities for performance analysis. We tested the integration of the portal with grid resource brokers and also augmented it with some degree of fault-tolerance. Optimization may require the migration of parts of the application to different resources and thus, it requires support for checkpointing. We enhanced the checkpointing facilities of P-GRADE and coupled it to Condor job scheduler. We also extended the system with a load balancer module that is able to migrate processes as part of the optimization
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