Experimentations and Programming Paradigms for Matrix Computing on Peer to Peer Grid
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Resource Management for Rapid Application Turnaround on Enterprise Desktop Grids
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
DGMonitor: A Performance Monitoring Tool for Sandbox-Based Desktop Grid Platforms
The Journal of Supercomputing
Towards a Security Model to Bridge Internet Desktop Grids and Service Grids
Euro-Par 2008 Workshops - Parallel Processing
Service scheduling and rescheduling in an applications integration framework
Advances in Engineering Software
Interoperability of BOINC and EGEE
Future Generation Computer Systems
A grid-based programming approach for distributed linear algebra applications
Multiagent and Grid Systems
P-GRADE Portal: A generic workflow system to support user communities
Future Generation Computer Systems
Grid Interoperability Based on a Formal Design
Journal of Grid Computing
Dynamic scheduling mechanism for result certification in peer to peer grid computing
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
A scheduling algorithm for parallel tasks in peer-to-peer systems
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
Wave scheduler: scheduling for faster turnaround time in peer-based desktop grid systems
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
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Grid computing pr sents two major challenges for deploying large scal applications across wide area networksgathering volunteers PC and clusters/parallel computers ascomputational resources: security and fault tolerance.This paper presents a lightweight Grid solution for thedeployment of multi-parameters applications on a set ofclusters protected by firewalls. The system uses a hierarchical design based on Condor for managing each clusterlocally and XtremWeb for enabling resource sharing amongth clusters.We discuss the security and fault tolerance mechanisms used for this design and demonstrate the usefulness of the approach measuring the performances of amulti-parameters bio-chemistry application deployed ontwo sites: University of Wisconsin/Madison and Paris SouthUniversity.This experiment shows that we can efficiently and safelyharness the computational power of about 200 PC distributed on two geographic sites.