581 research outputs found
Towards data grids for microarray expression profiles
The UK DTI funded Biomedical Research Informatics Delivered by Grid Enabled Services (BRIDGES) project developed a Grid infrastructure through which research into the genetic causes of hypertension could be supported by scientists within the large Wellcome Trust funded Cardiovascular Functional Genomics project. The BRIDGES project had a focus on developing a compute Grid and a data Grid infrastructure with security at its heart. Building on the work within BRIDGES, the BBSRC funded Grid enabled Microarray Expression Profile Search (GEMEPS) project plans to provide an enhanced data Grid infrastructure to support richer queries needed for the discovery and analysis of microarray data sets, also based upon a fine-grained security infrastructure. This paper outlines the experiences gained within BRIDGES and outlines the status of the GEMEPS project, the open challenges that remain and plans for the future
DRIVER Technology Watch Report
This report is part of the Discovery Workpackage (WP4) and is the third report out of four deliverables. The objective of this report is to give an overview of the latest technical developments in the world of digital repositories, digital libraries and beyond, in order to serve as theoretical and practical input for the technical DRIVER developments, especially those focused on enhanced publications. This report consists of two main parts, one part focuses on interoperability standards for enhanced publications, the other part consists of three subchapters, which give a landscape picture of current and surfacing technologies and communities crucial to DRIVER. These three subchapters contain the GRID, CRIS and LTP communities and technologies. Every chapter contains a theoretical explanation, followed by case studies and the outcomes and opportunities for DRIVER in this field
Security for Grid Services
Grid computing is concerned with the sharing and coordinated use of diverse
resources in distributed "virtual organizations." The dynamic and
multi-institutional nature of these environments introduces challenging
security issues that demand new technical approaches. In particular, one must
deal with diverse local mechanisms, support dynamic creation of services, and
enable dynamic creation of trust domains. We describe how these issues are
addressed in two generations of the Globus Toolkit. First, we review the Globus
Toolkit version 2 (GT2) approach; then, we describe new approaches developed to
support the Globus Toolkit version 3 (GT3) implementation of the Open Grid
Services Architecture, an initiative that is recasting Grid concepts within a
service oriented framework based on Web services. GT3's security implementation
uses Web services security mechanisms for credential exchange and other
purposes, and introduces a tight least-privilege model that avoids the need for
any privileged network service.Comment: 10 pages; 4 figure
Grid Databases for Shared Image Analysis in the MammoGrid Project
The MammoGrid project aims to prove that Grid infrastructures can be used for
collaborative clinical analysis of database-resident but geographically
distributed medical images. This requires: a) the provision of a
clinician-facing front-end workstation and b) the ability to service real-world
clinician queries across a distributed and federated database. The MammoGrid
project will prove the viability of the Grid by harnessing its power to enable
radiologists from geographically dispersed hospitals to share standardized
mammograms, to compare diagnoses (with and without computer aided detection of
tumours) and to perform sophisticated epidemiological studies across national
boundaries. This paper outlines the approach taken in MammoGrid to seamlessly
connect radiologist workstations across a Grid using an "information
infrastructure" and a DICOM-compliant object model residing in multiple
distributed data stores in Italy and the UKComment: 10 pages, 5 figure
Grid Database - Management, OGSA and Integration
The problem description of data models and types of databases has generated and gives rise to extensive controversy generated by their complexity, the many factors involved in the actual process of implementation. Grids encourage and promote the publication, sharing and integration of scientific data, distributed across Virtual Organizations. Scientists and researchers work on huge, complex and growing datasets. The complexity of data management within a grid environment comes from the distribution, heterogeneity and number of data sources.Early Grid applications focused principally on the storage, replication and movement of file-based data.. Many Grid applications already use databases for managing metadata, but increasingly many are associated with large databases of domain-specific information. In this paper we will talk about the fundamental concepts related to grid-database access, management, OGSA and integration
Active Ontology: An Information Integration Approach for Dynamic Information Sources
In this paper we describe an ontology-based information integration approach that is suitable for highly dynamic distributed information sources, such as those available in Grid systems. The main challenges addressed are: 1) information changes frequently and information requests have to be answered quickly in order to provide up-to-date information; and 2) the most suitable information sources have to be selected from a set of different distributed ones that can provide the information needed. To deal with the first challenge we use an information cache that works with an update-on-demand policy. To deal with the second we add an information source selection step to the usual architecture used for ontology-based information integration. To illustrate our approach, we have developed an information service that aggregates metadata available in hundreds of information services of the EGEE Grid infrastructure
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