The LHC experiments have envisaged unprecedented complex computing sys-tems, for which is necessary to provide a realistic description and modelling of data access patterns and of many jobs running concurrently on large scale distrib-uted systems and exchanging very large amounts of data. A process oriented approach for discrete event simulation is well suited to describe various activities running concurrently as well the stochastic arrival pat-terns, specific for such type of simulation. Threaded objects or “Active Objects” can provide a natural way to map the specific behavior of distributed data pro-cessing into the simulation program. The simulation tool developed within MONARC[1] is based on Java(TM) [2] technology which provides adeq...
Discrete-event simulation appears to be an ideal candidate for parallel processing not only because ...
The achievements attained in accelerating the simulation of the dynamics of complex discrete event s...
The scale, complexity and worldwide geographical spread of the LHC computing and data analysis probl...
The LHC experiments have envisaged computing systems of unprecedented complexity, for which is neces...
The LHC experiments have envisaged computing systems of unprecedented complexity, for which is neces...
The use of discrete-event simulators in the design and development of large scale distributed system...
The simulation framework developed within the "Models of Networked Analysis at Regional Centers" (MO...
The simulation framework developed within the "Models of Networked Analysis at Regional Centers" (MO...
The next generation of High Energy Physics experiments have envisaged the use of network-distributed...
The next generation of High Energy Physics experiments have envisaged the use of network-distributed...
Call number: LD2668 .T4 CMSC 1989 V67Master of ScienceComputing and Information Science
Call number: LD2668 .T4 CMSC 1989 V67Master of ScienceComputing and Information Science
With traditional event list techniques, evaluating a detailed discrete event simulation model can of...
Discrete-event simulation is a commonly used technique to model changes within a complex physical sy...
The presentation given here is restricted to discrete event simulation. The complexity of and time r...
Discrete-event simulation appears to be an ideal candidate for parallel processing not only because ...
The achievements attained in accelerating the simulation of the dynamics of complex discrete event s...
The scale, complexity and worldwide geographical spread of the LHC computing and data analysis probl...
The LHC experiments have envisaged computing systems of unprecedented complexity, for which is neces...
The LHC experiments have envisaged computing systems of unprecedented complexity, for which is neces...
The use of discrete-event simulators in the design and development of large scale distributed system...
The simulation framework developed within the "Models of Networked Analysis at Regional Centers" (MO...
The simulation framework developed within the "Models of Networked Analysis at Regional Centers" (MO...
The next generation of High Energy Physics experiments have envisaged the use of network-distributed...
The next generation of High Energy Physics experiments have envisaged the use of network-distributed...
Call number: LD2668 .T4 CMSC 1989 V67Master of ScienceComputing and Information Science
Call number: LD2668 .T4 CMSC 1989 V67Master of ScienceComputing and Information Science
With traditional event list techniques, evaluating a detailed discrete event simulation model can of...
Discrete-event simulation is a commonly used technique to model changes within a complex physical sy...
The presentation given here is restricted to discrete event simulation. The complexity of and time r...
Discrete-event simulation appears to be an ideal candidate for parallel processing not only because ...
The achievements attained in accelerating the simulation of the dynamics of complex discrete event s...
The scale, complexity and worldwide geographical spread of the LHC computing and data analysis probl...