Iosif Legrand

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The Grid2003 Project has deployed a multi-virtual organization, application-driven grid laboratory (" Grid3 ") that has sustained for several months the production-level services required by physics experiments of the Large Hadron Collider at CERN (ATLAS and CMS), the Sloan Digital Sky Survey project, the gravitational wave search experiment LIGO, the BTeV(More)
The MonALISA (Monitoring Agents in A Large Integrated Services Architecture) system provides a distributed monitoring service. MonALISA is based on a scalable Dynamic Distributed Services Architecture which is designed to meet the needs of physics collaborations for monitoring global Grid s ystems, and is implemented using JINI/JAVA and WSDL/SOAP(More)
This paper describes progress made in the development of the Clarens Web Services Framework, including a second Java-based server implementation, improved performance , a global lookup and discovery service leveraging of the MonALISA monitoring system, and adapting the framework to a secure message-based transport protocol.
A prototype system for agent-based distributed dynamic services that will be applied to the development of Data Grids for high-energy physics is presented. The agent-based systems we are designing and developing gather, disseminate and coordinate configuration, time-dependent state and other information in the Grid system as a whole. These systems are being(More)
The next generation of High Energy Physics experiments have envisaged the use of network-distributed Petabyte-scale data handling and computing systems of unprecedented complexity. The general concept is that of a "Data Grid Hierarchy" in which the central facility at the European Laboratory for Particle Physics (CERN) in Geneva will interact and coherently(More)
Large scientific collaborations are moving towards service oriented architectures for implementation and deployment of globally distributed systems. Clarens is a high performance, easy to deploy Web Service framework that supports the construction of such globally distributed systems. This paper discusses some of the core functionality of Clarens that the(More)
The Grid Analysis Environment (GAE), which is a continuation of the CAIGEE project [5], is an effort to develop, integrate and deploy a system for distributed analysis. The current focus within the GAE is on the CMS experiment [1] however the GAE design abstracts from any specific scientific experiment and focuses on scientific analysis in general. The GAE(More)
Distributed Services Architecture with support for mobile agents between services, offers significantly improved communication and computational flexibility. The uses of agents allow execution of complex operations that involve large amounts of data to be processed effectively using distributed resources. The prototype system Distributed Agents for Mobile(More)
The aim of this work is to describe a possible approach for the optimization of the job scheduling in large distributed systems, based on a self-organizing Neural Network. This dynamic scheduling system should be seen as adaptive middle layer software, aware of current available resources and making the scheduling decisions using the " past experience. It(More)