High Energy Physics (HEP) experiments have greatly benefited from a strong relationship with Research and Education (REN) network providers and thanks to the projects such as LHCOPN/LHCONE and REN contributions, have enjoyed significant capacities and high performance networks for some time. Network providers have been able to continually expand their capacities to over-provision the networks relative to the experiments needs and were thus able to cope with the recent rapid growth of the traffic between sites, both in terms of achievable peak transfer rates as well as in total amount of data transferred. There are reasons to believe that the network situation will change due to both technological and non-technological reasons starting a...
Networks are used extensively for High Energy Physics in the United States. Although the networks ha...
The massive data volumes acquired, simulated, processed and analyzed by globally distributed scienti...
In the attempt to solve the problem of processing data coming from LHC experiments at CERN at a rate...
High Energy Physics (HEP) experiments rely on the networks as one of the critical parts of their inf...
High Energy Physics (HEP) experiments rely on the networks as one of the critical parts of their inf...
Wide area networks of increasing end-to-end capacity and capability are vital for every phase of hig...
Networks have played a critical role in high-energy physics (HEP), enabling us to access and effecti...
Scientific innovation continues to increase requirements for the computing and networking infrastru...
CERN’s Large Hadron Collider is producing several Petabytes of physics data per year. We present the...
The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Dep...
The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Depar...
The Rutherford Appleton Laboratory (RAL) runs the UK Tier-1 which supports all the LHC experiments, ...
Introduction Data acquisition and trigger systems for LHC experiments will depend critically on the ...
This note will summarize the Software development and operational experience and improvements of the...
The Computing Models of the LHC experiments continue to evolve from the simple hierarchical MONARC[2...
Networks are used extensively for High Energy Physics in the United States. Although the networks ha...
The massive data volumes acquired, simulated, processed and analyzed by globally distributed scienti...
In the attempt to solve the problem of processing data coming from LHC experiments at CERN at a rate...
High Energy Physics (HEP) experiments rely on the networks as one of the critical parts of their inf...
High Energy Physics (HEP) experiments rely on the networks as one of the critical parts of their inf...
Wide area networks of increasing end-to-end capacity and capability are vital for every phase of hig...
Networks have played a critical role in high-energy physics (HEP), enabling us to access and effecti...
Scientific innovation continues to increase requirements for the computing and networking infrastru...
CERN’s Large Hadron Collider is producing several Petabytes of physics data per year. We present the...
The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Dep...
The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Depar...
The Rutherford Appleton Laboratory (RAL) runs the UK Tier-1 which supports all the LHC experiments, ...
Introduction Data acquisition and trigger systems for LHC experiments will depend critically on the ...
This note will summarize the Software development and operational experience and improvements of the...
The Computing Models of the LHC experiments continue to evolve from the simple hierarchical MONARC[2...
Networks are used extensively for High Energy Physics in the United States. Although the networks ha...
The massive data volumes acquired, simulated, processed and analyzed by globally distributed scienti...
In the attempt to solve the problem of processing data coming from LHC experiments at CERN at a rate...