none5siThe management of Grid systems commonly lacks information for identifying the failures that may hinder the timely completion of jobs, and cause the wasting of computing resources. Monitoring can certainly help, but novel approaches need to be conceived for such large and geographically distributed systems. We propose a Grid Architecture for scalable Monitoring and Enhanced dependable job ScHeduling (GAMESH). GAMESH is a completely distributed and highly efficient management infrastructure for the dissemination of monitoring data and troubleshooting of job execution failures in large-scale and multi-domain Grid environments. Challenged in a real deployment and compared to other Grid management systems, GAMESH demonstrates to (i) ensur...
The grid is emerging as a great computational resource but its dynamic behavior makes the Grid envi...
Thanks to the Grid, users have access to computing resources distributed all over the world. The Gri...
Abstract—In large-scale grid platforms, providing fault-tolerance for users is always a challenging ...
The management of Grid systems commonly lacks information for identifying the failures that may hind...
none6siGrid computing is a largely adopted paradigm to federate geographically distributed data cent...
Workflow brokers of existing Grid Scheduling Systems are lack of cooperation mechanism which causes ...
The emergence of Grid infrastructures like EGEE has enabled the deployment of large-scale computatio...
In a wide-area distributed and heterogeneous grid environment, monitoring plays an important and cru...
A grid is a distributed computational and storage environment often composed of heterogeneous autono...
The aim of this thesis is to design and implement a new Grid Resource Management methodology, where ...
The major GRID infastructures are designed mainly for batch-oriented computing with coarse-grained j...
Grid applications run on environment that is prone to different kinds of failures. Fault tolerance i...
Job checkpointing is one of the most common utilized techniques for providing fault tolerance in com...
Abstract—Grid computing is an emerging technology which has the potential to solve large scale scien...
Thanks to the Grid, users have access to computing resources distributed all over the world. The Gri...
The grid is emerging as a great computational resource but its dynamic behavior makes the Grid envi...
Thanks to the Grid, users have access to computing resources distributed all over the world. The Gri...
Abstract—In large-scale grid platforms, providing fault-tolerance for users is always a challenging ...
The management of Grid systems commonly lacks information for identifying the failures that may hind...
none6siGrid computing is a largely adopted paradigm to federate geographically distributed data cent...
Workflow brokers of existing Grid Scheduling Systems are lack of cooperation mechanism which causes ...
The emergence of Grid infrastructures like EGEE has enabled the deployment of large-scale computatio...
In a wide-area distributed and heterogeneous grid environment, monitoring plays an important and cru...
A grid is a distributed computational and storage environment often composed of heterogeneous autono...
The aim of this thesis is to design and implement a new Grid Resource Management methodology, where ...
The major GRID infastructures are designed mainly for batch-oriented computing with coarse-grained j...
Grid applications run on environment that is prone to different kinds of failures. Fault tolerance i...
Job checkpointing is one of the most common utilized techniques for providing fault tolerance in com...
Abstract—Grid computing is an emerging technology which has the potential to solve large scale scien...
Thanks to the Grid, users have access to computing resources distributed all over the world. The Gri...
The grid is emerging as a great computational resource but its dynamic behavior makes the Grid envi...
Thanks to the Grid, users have access to computing resources distributed all over the world. The Gri...
Abstract—In large-scale grid platforms, providing fault-tolerance for users is always a challenging ...