Performance analysis of “Time Warp” with limited memory
SIGMETRICS '92/PERFORMANCE '92 Proceedings of the 1992 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Asynchronous algorithms for the parallel simulation of event-driven dynamical systems
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Stability of event synchronisation in distributed discrete event simulation
PADS '94 Proceedings of the eighth workshop on Parallel and distributed simulation
Asynchronous updates in large parallel systems
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Queueing models and stability of message flows in distributed simulators of open queueing networks
PADS '96 Proceedings of the tenth workshop on Parallel and distributed simulation
Instability and performance limits of distributed simulators of feedforward queueing networks
ACM Transactions on Modeling and Computer Simulation (TOMACS)
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
Parallel and Distributed Computation: Numerical Methods
Parallel and Distributed Computation: Numerical Methods
Performance Analysis of Time Warp with Multiple Homogeneous Processors
IEEE Transactions on Software Engineering
An approach to performance analysis of timestamp-driven synchronization mechanisms
PODC '84 Proceedings of the third annual ACM symposium on Principles of distributed computing
Clock synchronization in symmetric stochastic networks
Queueing Systems: Theory and Applications
Hi-index | 0.00 |
We consider a cascade model of N different processors performing a distributed parallel simulation. The main goal of the study is to show that the long-time dynamics of the system have a cluster behaviour. To attack this problem we combine two methods: stochastic comparison and Foster–Lyapunov functions.