Monitoring distributed applications executed on a computational Grid is challenging since they are executed on several heterogeneous nodes belonging to different administrative domains. An application monitoring service should provide users and administrators with useful and dependable data on the applications executed on the Grid. We present in this paper a grid application monitoring service designed to handle high availability and scalability issues. The service supplies information on application state, on failures and on resource consumption. A set of monitoring mechanisms are used according to grid node nature to effectively monitor the applications. experiments on the Grid'5000 testbed show that the service provides dependable inform...
Abstract. While existing work concentrates on developing QoS models of business workflows and Web se...
Monitoring is critical for providing robust, high performance Grid environment. Without monitoring m...
As organizations begin to deploy large computational grids, it has become apparent that systems for ...
Monitoring distributed applications executed on a computational Grid is challenging since they are e...
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...
The ability to tolerate failures while effectively exploiting the grid computing resources in an sca...
Abstract. Grid technology opens the way to build collaborative environments that enable distributed ...
The Worldwide LHC Computing Grid (WLCG) infrastructure continuously operates thousands of grid servi...
QoS (Quality of Service) parameters play a key role in selecting Grid resources and optimizing resou...
Monitoring resources is an important aspect of the overall efficient usage and control of any distri...
Resource state monitoring is a critical component of any Grid Management Architecture, providing Gri...
This paper presents an application monitoring infrastructure developed within the CrossGrid project....
Distributed resource property repositories and state monitoring systems are critical components of a...
Distributed resource property repositories and state monitoring systems are critical components of a...
Abstract. While existing work concentrates on developing QoS models of business workflows and Web se...
Monitoring is critical for providing robust, high performance Grid environment. Without monitoring m...
As organizations begin to deploy large computational grids, it has become apparent that systems for ...
Monitoring distributed applications executed on a computational Grid is challenging since they are e...
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...
The ability to tolerate failures while effectively exploiting the grid computing resources in an sca...
Abstract. Grid technology opens the way to build collaborative environments that enable distributed ...
The Worldwide LHC Computing Grid (WLCG) infrastructure continuously operates thousands of grid servi...
QoS (Quality of Service) parameters play a key role in selecting Grid resources and optimizing resou...
Monitoring resources is an important aspect of the overall efficient usage and control of any distri...
Resource state monitoring is a critical component of any Grid Management Architecture, providing Gri...
This paper presents an application monitoring infrastructure developed within the CrossGrid project....
Distributed resource property repositories and state monitoring systems are critical components of a...
Distributed resource property repositories and state monitoring systems are critical components of a...
Abstract. While existing work concentrates on developing QoS models of business workflows and Web se...
Monitoring is critical for providing robust, high performance Grid environment. Without monitoring m...
As organizations begin to deploy large computational grids, it has become apparent that systems for ...