The ability to tolerate failures while effectively exploiting the grid computing resources in an scalable and transparent manner must be an integral part of grid computing infrastructure. Hence, fault-detection service is a necessary prerequisite to fault tolerance and fault recovery in grid computing. To this end, we present an scalable fault detection service architecture. The proposed fault-detection system provides services that monitors user applications, grid middlewares and the dynamically changing state of a collection of distributed resources. It reports summaries of this information to the appropriate agents on demand or instantaneously in the event of failures
Failure in long running grid applications is arguably in- evitable and costly. Therefore, fault tole...
[[abstract]]The Grid Information Service (GIS), mainly used for resource discovery and monitoring, i...
We have to briefly investigate the faulty objects in grid computing environment. The grid computing ...
The potential for faults in distributed computing systems is a significant complicating factor for a...
Monitoring distributed applications executed on a computational Grid is challenging since they are e...
Because of computational grid heterogeneity, scale and complexity, faults become likely. Therefore, ...
Monitoring distributed applications executed on a computational Grid is challenging since they are e...
International audienceMonitoring distributed applications executed on a computational Grid is challe...
Abstract—The GridRPC model is well suited for high per-formance computing on grids thanks to efficie...
Grid systems have proved to be one of the most important new alternatives to face challenging proble...
Abstract. With the maturity of the Grid, the community has made an important effort in developing mi...
Abstract — Grid computing is a means of allocating the computational power of a large number of comp...
A major hurdle facing data intensive grid applications is the appropriate handling of failures that ...
Thanks to the Grid, users have access to computing resources distributed all over the world. The Gri...
Thanks to the Grid, users have access to computing resources distributed all over the world. The Gri...
Failure in long running grid applications is arguably in- evitable and costly. Therefore, fault tole...
[[abstract]]The Grid Information Service (GIS), mainly used for resource discovery and monitoring, i...
We have to briefly investigate the faulty objects in grid computing environment. The grid computing ...
The potential for faults in distributed computing systems is a significant complicating factor for a...
Monitoring distributed applications executed on a computational Grid is challenging since they are e...
Because of computational grid heterogeneity, scale and complexity, faults become likely. Therefore, ...
Monitoring distributed applications executed on a computational Grid is challenging since they are e...
International audienceMonitoring distributed applications executed on a computational Grid is challe...
Abstract—The GridRPC model is well suited for high per-formance computing on grids thanks to efficie...
Grid systems have proved to be one of the most important new alternatives to face challenging proble...
Abstract. With the maturity of the Grid, the community has made an important effort in developing mi...
Abstract — Grid computing is a means of allocating the computational power of a large number of comp...
A major hurdle facing data intensive grid applications is the appropriate handling of failures that ...
Thanks to the Grid, users have access to computing resources distributed all over the world. The Gri...
Thanks to the Grid, users have access to computing resources distributed all over the world. The Gri...
Failure in long running grid applications is arguably in- evitable and costly. Therefore, fault tole...
[[abstract]]The Grid Information Service (GIS), mainly used for resource discovery and monitoring, i...
We have to briefly investigate the faulty objects in grid computing environment. The grid computing ...