A5043143548- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Cloud Computing and Resource Management
- Access Control and Trust
- Parallel Computing and Optimization Techniques
- Service-Oriented Architecture and Web Services
- Peer-to-Peer Network Technologies
- Power Systems and Technologies
- Advanced Database Systems and Queries
- Remote Sensing and LiDAR Applications
- Anomaly Detection Techniques and Applications
- Methane Hydrates and Related Phenomena
- Electrical Contact Performance and Analysis
- Cell Image Analysis Techniques
- Atmospheric and Environmental Gas Dynamics
- Machine Learning and Data Classification
- Artificial Intelligence in Healthcare and Education
- Magnetic Bearings and Levitation Dynamics
- Data Quality and Management
- Power Line Communications and Noise
- Renewable energy and sustainable power systems
- Mobile Agent-Based Network Management
- Engineering and Test Systems
Forschungszentrum Jülich
2007-2018
University of Iceland
2014-2017
Stadtwerke Jülich (Germany)
2013
John von Neumann Institute for Computing
2007
University of California, San Diego
2004-2007
The wide variety of scientific user communities work with data since many years and thus have already a infrastructures in production today. aim this paper is not to create one new general architecture that would fail be adopted by each any individual community. Instead contribution aims design reference model abstract entities able federate existing concrete under umbrella. A an framework for understanding significant relationships between them helps understand when comparing terms...
In a distributed grid environment with ambitious service demands the job submission and management interfaces provide functionality of major importance. Emerging e-science infrastructures such as EGEE DEISA rely on highly available services that are capable managing scientific jobs. It is adoption emerging open standard which allows distribution resources in way their actual implementation or technologies not isolated from each other, especially when these deployed different consist types...
The article presents the Web services framework in Kepler scientific workflow system and illustrates them with a real-world example.
The UNICORE grid system provides a seamless, secure and intuitive access to distributed resources. In recent years, 5 is used as well-tested middleware in production grids (e.g. DEISA, D-Grid) at many supercomputer centers world-wide. Beyond this usage, serves solid basis European International research projects business scenarios from T-Systems, Philips Research, Intel, Fujitsu others. To foster ongoing developments multiple projects, open source under BSD license SourceForge. More...
The term `big data analytics' emerged in order to engage the ever increasing amount of scientific and engineering with general analytics techniques that support often more domain-specific analysis process. It is recognized big challenge can only be adequately addressed when knowledge various different fields such as mining, machine learning algorithms, parallel processing, management practices are effectively combined. This paper thus describes some `smart methods' enable a high productivity...
The provision and processing of information in an e- Science environment are essential tasks. For this purpose, most environments provide services which aggregate data from different sources make it available to users other services. In paper we present CIS, extensible service with underlying unified model. Designed according service-oriented architectural principles, CIS consumes like Ganglia, formats the Common Information Model, delivers against XQuery requests. We realised a Web Services...
E-health makes use of information and communication methods the latest e-research tools to support understanding body functions. E-scientists in this field take already advantage one single infrastructure perform computationally-intensive investigations human that tend consider each constituent parts separately without taking into account multiple important interactions between them. But these imply an increasing complexity applications embrace physical models (i.e. multi-physics) a larger...
The interoperability of e-Science infrastructures like DEISA/PRACE and EGEE/EGI is an increasing demand for a wide variety cross-Grid applications, but based on common open standards adopted by Grid middleware only starting to emerge not broadly provided today. In earlier work, we have shown how refined form reference model, which careful academic analysis lessons learned obtained from production applications that require access both, High Throughput Computing (HTC) resources as well...
During the past decade, significant international and broader interdisciplinary research is increasingly carried out by global collaborations that often share resources within a single production e-science infrastructure. More recently, increasing complexity of applications embrace multiple physical models (i.e. multi-physics) consider longer more detailed simulation runs as well larger range scales multi-scale). This increase in creating steadily growing demand for cross-infrastructure...
Many existing Grid technologies and resource management systems lack a standardized job submission interface in environments or e-Infrastructures. Even if the same language for description is used, often also different each of these technologies. The evolvement Job Submission Description Language (JSDL) as well OGSA - Basic Execution Services (OGSA-BES) pave way to improve interoperability all enabling cross-Grid better capabilities. In addition, BytelO standards provide useful mechanisms...
One of the challenges in a distributed data infrastructure is how users authenticate to infrastructure, and their authorisations are tracked. Each user community comes with its own established practices, all different, put off if they need use new, difficult tools. From perspective project, level assurance must be high enough, it should not necessary reimplement an authentication authorisation (AAI). In EUDAT we chose implement mostly loosely coupled approach based on outcome Contrail...
Grid and e-science infrastructure interoperability is an increasing demand for applications but based on common open standards adopted by middle-wares are only starting to emerge infrastructures not broadly provided today. In earlier work we have shown how can be improved lessons learned from cross-Grid that require access both, High Throughput Computing (HTC) resources as well Performance (HPC) resources. This paper provides more insights in several concepts with a particular focus...
AARC (Authentication and Authorisation for Research Communities) is a two-year EC-funded project to develop pilot an integrated cross-discipline authentication authorisation framework, building on existing infrastructures (AAIs) production federated infrastructure. also champions access offers tailored training complement the actions needed test results promote outcomes. This article describes high-level blueprint architectures interoperable AAIs.