The MonALISA (Monitoring Agents in A Large Integrated Services Architecture) system provides a distributed service architecture which is used to collect and process monitoring information. While its initial target field of application is networks and Grid systems supporting data processing and analysis for global high energy and nuclear physics collaborations, MonALISA is broadly applicable to many fields of "data intensive" science, and to the monitoring and management of major research and education networks. MonALISA is based on a scalable Dynamic Distributed Services Architecture), and is implemented in Java using JINI and WSDL technologies. The scalability of the system derives from the use of a multi threaded engine to host ...
Abstract: The Scheduling process in Large Scale Distributed Systems (LSDS) became more important due...
This paper describes progress made in the development of the Clarens Web Services Framework, includi...
It is very complex and of low efficiency for grid users to access heterogeneous diverse data resourc...
The MonALISA (Monitoring Agents in A Large Integrated Services Architecture) system provides a distr...
The MonALISA (Monitoring Agents in A Large Integrated Services Architecture) framework provides a se...
We are developing a general purpose monitoring system for the ALICE experiment, based on the MonALIS...
The MonALISA (Monitoring Agents using a Large Integrated Services Architecture) framework provides a...
MonALISA developers describe how it works, the key design principles behind it, and the biggest tech...
MonALISA developers describe how it works, the key design principles behind it, and the biggest tech...
A complex software environment such as the ALICE Computing Grid infrastructure requires permanent co...
Network monitoring is vital to ensure proper network operation over time, and is tightly integrated ...
High-Energy Physics experiments like ALICE at LHC require petabytes of storage and thousand of CP...
This report introduces a monitoring service specially designed for BlobSeer, a large-scale distribut...
The SAMGrid team is in the process of implementing a monitoring and information service, which fulfi...
The successful administration of a global Data Grid system requires collecting and storing relevant ...
Abstract: The Scheduling process in Large Scale Distributed Systems (LSDS) became more important due...
This paper describes progress made in the development of the Clarens Web Services Framework, includi...
It is very complex and of low efficiency for grid users to access heterogeneous diverse data resourc...
The MonALISA (Monitoring Agents in A Large Integrated Services Architecture) system provides a distr...
The MonALISA (Monitoring Agents in A Large Integrated Services Architecture) framework provides a se...
We are developing a general purpose monitoring system for the ALICE experiment, based on the MonALIS...
The MonALISA (Monitoring Agents using a Large Integrated Services Architecture) framework provides a...
MonALISA developers describe how it works, the key design principles behind it, and the biggest tech...
MonALISA developers describe how it works, the key design principles behind it, and the biggest tech...
A complex software environment such as the ALICE Computing Grid infrastructure requires permanent co...
Network monitoring is vital to ensure proper network operation over time, and is tightly integrated ...
High-Energy Physics experiments like ALICE at LHC require petabytes of storage and thousand of CP...
This report introduces a monitoring service specially designed for BlobSeer, a large-scale distribut...
The SAMGrid team is in the process of implementing a monitoring and information service, which fulfi...
The successful administration of a global Data Grid system requires collecting and storing relevant ...
Abstract: The Scheduling process in Large Scale Distributed Systems (LSDS) became more important due...
This paper describes progress made in the development of the Clarens Web Services Framework, includi...
It is very complex and of low efficiency for grid users to access heterogeneous diverse data resourc...