Integrating a dynamic data federation into the ATLAS distributed data management system

A study of dynamic data placement for ATLAS distributed data management

This contribution presents a study on the applicability and usefulness of dynamic data placement methods for data-intensive systems, such as ATLAS distributed data management (DDM). In this system the jobs are sent to the data, therefore having a good distribution of data is significant. Ways of forecasting workload patterns are examined which then are used to redistribute data to achieve a bet...

Ontology based data warehouses federation management system

Data warehouses are nowadays an important component in every competitive system, it's one of the main components on which business intelligence is based. We can even say that many companies are climbing to the next level and use a set of Data warehouses to provide the complete information or it's generally due to fusion of two or many companies. these Data warehouses can be heterogeneous and ge...

Integrating Bulk-Data Transfer into the Aurora Distributed Shared Data System

The Aurora distributed shared data system implements a shared-data abstraction on distributedmemory platforms, such as clusters, using abstract data types. Aurora programs are written in C++ and instantiate shared-data objects whose data-sharing behaviour can be optimized using a novel technique called scoped behaviour. Each object and each phase of the computation (i.e., use-context) can be in...

Integrating Data Management into Engineering Applications

Engineering design search and optimisation is the process whereby engineering modelling and analysis are exploited to yield improved designs. It is a computationally and data intensive process an application domain well-suited to Grid technology. Many ongoing activities focus on utilising computing resources on the grid. However, it is equally important to manage efficiently the vast and varied...

Project-Team ATLAS Complex Data Management in Distributed Systems