Development of Grid e-Infrastructure in South-Eastern Europe

  • Authors:
  • Antun Balaž;Ognjen Prnjat;Dušan Vudragović;Vladimir Slavnić;Ioannis Liabotis;Emanouil Atanassov;Boro Jakimovski;Mihajlo Savić

  • Affiliations:
  • SCL, Institute of Physics Belgrade, University of Belgrade, Belgrade, Serbia;Greek Research and Technology Network--GRNET, Athens, Greece;SCL, Institute of Physics Belgrade, University of Belgrade, Belgrade, Serbia;SCL, Institute of Physics Belgrade, University of Belgrade, Belgrade, Serbia;Greek Research and Technology Network--GRNET, Athens, Greece;Institute for Parallel Processing, Bulgarian Academy of Sciences, Sofia, Bulgaria;SS. Cyril and Methodius University, Skopje, FYR of Macedonia;University of Banja Luka, Banja Luka, Bosnia and Herzegovina

  • Venue:
  • Journal of Grid Computing
  • Year:
  • 2011

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Abstract

Over the period of six 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 6,600 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.