Alvaro Fernández

The EU-CrossGrid Approach for Grid Application Scheduling

This paper presents the approach being followed to implement scheduling components that are integrated as part of the EU CrossGrid project. The purpose of these components is to provide a basis for supporting the efficient execution of distributed interactive applications on Grid environments. When a user submits a job, the scheduling services search for the most suitable resources to run the application and take subsequent steps to ensure a reliable launching of the application. All these actions are carried out according to user-defined preferences.

Managing MPI Applications in Grid Environments

One of the goals of the EU CrossGrid project is to provide a basis for supporting the efficient execution of parallel and interactive applications on Grid environments. CrossGrid jobs typically consist of computationally intensive simulations that are often programmed using a parallel programming model and a parallel programming library (MPI). This paper describes the key components that we have included in our resource management system in order to provide effective and reliable execution of parallel applications on a Grid environment. The general architecture of our resource management system is briefly introduced first and we focus afterwards on the description of the main components of our system. We provide support for executing parallel applications written in MPI either in a single cluster or over multiple clusters.

Workflow management in the crossgrid project

Grid systems offer high computing capabilities that are used in many scientific research fields and thus many applications are submitted to these powerful systems. Parallel applications and applications consisting of inter-dependent jobs may especially be characterized by a complex workflow. Therefore, Grid systems should be capable of executing and controlling workflow computations. This document sets out our approach to workflow management in a Grid environment. It introduces common steps on how to map an application workflow to the DAG structure, and how to carry out its execution and control. We present the Workflow Management Service (WFMS) implemented and integrated as a part of the CrossGrid project. The purpose of this service is to schedule workflow computations according to user-defined requirements, also providing a set of mechanisms to deal with failures in Grid.

ATLAS Tier-3 within IFIC-Valencia analysis facility

The ATLAS Tier-3 at IFIC-Valencia is attached to a Tier-2 that has 50% of the Spanish Federated Tier-2 resources. In its design, the Tier-3 includes a GRID-aware part that shares some of the features of IFIC Tier-2 such as using Lustre as a file system. ATLAS users, 70% of IFIC users, also have the possibility of analysing data with a PROOF farm and storing them locally. In this contribution we discuss the design of the analysis facility as well as the monitoring tools we use to control and improve its performance. We also comment on how the recent changes in the ATLAS computing GRID model affect IFIC. Finally, how this complex system can coexist with the other scientific applications running at IFIC (non-ATLAS users) is presented.

Iberian ATLAS Cloud response during the first LHC collisions

The computing model of the ATLAS experiment at the LHC (Large Hadron Collider) is based on a tiered hierarchy that ranges from Tier0 (CERN) down to end-users own resources (Tier3). According to the same computing model, the role of the Tier2s is to provide computing resources for event simulation processing and distributed data analysis. Tier3 centers, on the other hand, are the responsibility of individual institutions to define, fund, deploy and support. In this contribution we report on the operations of the ATLAS Iberian Cloud centers facing data taking and we describe some of the Tier3 facilities currently deployed at the Cloud.

Scientific Applications Running at IFIC Using the GRID Technologies within the e-Science Framework

Projects and research lines of the Grid Computing Group at IFIC are presented. These projects can be divided in two main groups related to the subject of research. The first one is related to physics projects in particular to the GRID infrastructure needed to provide solution to the high CPU demanding and huge storage capacity demanding experiments related to the Large Hadron Collider at CERN. Between these experiments there is special relation with the ATLAS experiment, one of the four main experiments devoted to search new physics at the LHC. The other research line is related to Medical Physics and in particular the use of GRID technologies for the specific applications for Radiotherapy or the recent field of Hadrontherapy.