Enabling Grids for E-sciencE III (EGEE-III)

Download

CORDIS_222667_FactSheet.pdf

Date

2010-4-30

Author

Şener, Cevat

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

194
views

86
downloads

A globally distributed computing Grid now plays an essential role for large-scale, data intensive science in many fields of research. The concept has been proven viable through the Enabling Grids for E-sciencE project (EGEE and EGEE-II, 2004-2008) and its related projects. EGEE-II is consolidating the operations and middleware of this Grid for use by a wide range of scientific communities, such as astrophysics, computational chemistry, earth and life sciences, fusion and particle physics. Strong quality assurance, training and outreach programmes contribute to the success of this production Grid infrastructure. Built on the pan-European network GÉANT2, EGEE has become a unique and powerful resource for European science, allowing researchers in all regions to collaborate on common challenges. Worldwide collaborations have extended its reach to the benefit of European science. The proposed EGEE-III project has two clear objectives that are essential for European research infrastructures: to expand, optimize and simplify the use of Europe's largest production Grid by continuous operation of the infrastructure, support for more user communities, and addition of further computational and data resources; to prepare the migration of the existing Grid from a project-based model to a sustainable federated infrastructure based on National Grid Initiatives. By strengthening interoperable, open source middleware, EGEE-III will actively contribute to Grid standards, and work closely with businesses to ensure commercial uptake of the Grid, which is a key to sustainability. Federating its partners on a national or regional basis, EGEE-III will have a structuring effect on the European Research Area. In particular, EGEE-III will ensure that the European Grid does not fragment into incompatible infrastructures of varying maturity. EGEE-III will provide a world class, coherent and reliable European Grid, ensuring Europe remains at the forefront of scientific excellence.

Subject Keywords

sustainable economy

URI

https://cordis.europa.eu/project/id/222667
https://hdl.handle.net/11511/58328

Collections

Department of Computer Engineering, Project and Design

Suggestions

OpenMETU
Core

Re-problematizing the contextualism-autonomy debate in architecture within the formal logic computational operations Okten, Deniz; Mennan, Zeynep; Department of Architecture (2007) Technological innovations in the field of information and communication have transformed the nature of the spatial realm. The spatial realm has been engaged with the virtual realm, where a new approach has been mandatory for a possible and productive interrelation between the two. On the other hand, new technologies have affected architectural drafting, representation, construction and most significantly architectural design to generate remarkable conveniences and unnoticed interfaces for architects. New te...
Sustainability-oriented innovation system analyses of Brazil, Russia, India, China, South Africa, Turkey and Singapore Kılkış, Şiir (2016-09-01) The coherency of research, development, and innovation processes are vital in promoting a more resource efficient society. Sustainability-oriented innovation systems define specific kinds of innovation systems, i.e. those that are directed to the aims of sustainable development. This paper develops an integrated method with four layers of analysis to evaluate the priorities and performances of such systems. The method is applied to a sample of emerging and innovation based economies, namely Brazil, Russia, ...
Implementation of crossbar web service for interactive visualizations of biological networks Atakan , Ahmet; Atalay, Mehmet Volkan; Department of Computer Engineering (2020-9) Existing computational tools, resources, and services to assist experimental biomedical research lack data diversity and data connectivity and therefore, they are limited in helping to solve real world problems. Within the framework of CROssBAR project aiming for drug discovery, CROssBAR database (CROssBAR-DB) integrated diverse biomedical resources with the predictions of a comprehensive computing resource developed using machine learning and deep learning-based methods. It is crucial for the users to ...
Eliminating the Cut Down from Science for Equality: Policies for Fair HPC Resource Utilization Nuhoğlu, Gökçe; Aydınoğlu, Arsev Umur (2021-10-07) Büyük veri araştırmacıları, yüksek hesaplama ihtiyaçları nedeniyle karmaşık altyapılara bağımlıdır. Bu talebi karşılamak için merkezler olarak Yüksek Performanslı Bilgi İşlem (HPC) altyapıları kurulur. Araştırmacıların bu merkezlere eşit erişimi temel sorunlardan biridir. Literatürde HPC kaynaklarının demokratikleşmesine ilişkin bazı örnekler bulunmaktadır. Ancak, HPC kaynaklarının adil bilimsel kullanımına ilişkin sorunlar devam etmektedir. Bu çalışmada, Türkiye'deki üniversitelere bağlı ve HPC merkezlerin...
Automated biological data acquisition and integration using machine learning techniques Çarkacıoğlu, Levent; Atalay, Mehmet Volkan; Department of Computer Engineering (2009) Since the initial genome sequencing projects along with the recent advances on technology, molecular biology and large scale transcriptome analysis result in data accumulation at a large scale. These data have been provided in different platforms and come from different laboratories therefore, there is a need for compilation and comprehensive analysis. In this thesis, we addressed the automatization of biological data acquisition and integration from these non-uniform data using machine learning techniques....

Citation Formats

C. Şener, “Enabling Grids for E-sciencE III (EGEE-III),” 2010. Accessed: 00, 2020. [Online]. Available: https://cordis.europa.eu/project/id/222667.