ACM Transactions on Programming Languages and Systems (TOPLAS)
Virtual time II: storage management in conservative and optimistic systems
PODC '90 Proceedings of the ninth annual ACM symposium on Principles of distributed computing
An adaptive memory management protocol for Time Warp parallel simulation
SIGMETRICS '94 Proceedings of the 1994 ACM SIGMETRICS conference on Measurement and modeling of computer systems
Dynamic load balancing of a multi-cluster simulator on a network of workstations
PADS '95 Proceedings of the ninth workshop on Parallel and distributed simulation
Background execution of time warp programs
PADS '96 Proceedings of the tenth workshop on Parallel and distributed simulation
The dynamic load balancing of clustered time warp for logic simulation
PADS '96 Proceedings of the tenth workshop on Parallel and distributed simulation
Adaptive flow control in time warp
Proceedings of the eleventh workshop on Parallel and distributed simulation
Estimating rollback overhead for optimism control in Time Warp
SS '95 Proceedings of the 28th Annual Simulation Symposium
Load balancing for conservative simulation on shared memory multiprocessor systems
PADS '00 Proceedings of the fourteenth workshop on Parallel and distributed simulation
Model structure and load balancing in optimistic parallel discrete event simulation
PADS '00 Proceedings of the fourteenth workshop on Parallel and distributed simulation
The resource sharing system: dynamic federate mapping for HLA-based distributed simulation
Proceedings of the fifteenth workshop on Parallel and distributed simulation
Simulating spatially explicit problems on high performance architectures
Journal of Parallel and Distributed Computing - Parallel and Distributed Discrete Event Simulation--An Emerging Technology
On Rolling Back and Checkpointing in Time Warp
IEEE Transactions on Parallel and Distributed Systems
DS-RT '09 Proceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications
Time-parallel simulation of wireless ad hoc networks
Wireless Networks
Journal of Parallel and Distributed Computing
Predictive Dynamic Load Balancing for Large-Scale HLA-based Simulations
DS-RT '11 Proceedings of the 2011 IEEE/ACM 15th International Symposium on Distributed Simulation and Real Time Applications
An adaptive load balancing middleware for distributed simulation
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
Load Prediction in HLA-Based Distributed Simulation Using Holt's Variants
DS-RT '13 Proceedings of the 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications
| Hi-index | 0.00 |
We present, in this paper, an algorithm which integrates flow control and dynamic load balancing in order to improve the performance and stability of Time Warp. The algorithm is intended for use in a distributed memory environment such as a cluster of workstations connected by a high speed switch. Our flow control algorithm makes use of stochastic learning automata and operates in the fashion of the leaky-bucket flow control algorithm used in computer networks. It regulates the flow of messages between processors continuously throughout the course of the simulation, while the dynamic load balancing algorithm is invoked only when a load imbalance is detected. Both algorithms make use of a space-time product metric and collect the requisite information via a snapshot-based GVT algorithm.We compare the performance of the flow control algorithm, the dynamic load balancing algorithm and the integrated algorithm with that of a simulation without any of these controls. We simulated large shuffle ring networks with and without hot spots and a PCS network on an SGI Origin 2000 system.Our results indicate that the flow control scheme alone succeeds in greatly reducing the number and length of rollbacks as well as the number of anti-messages, thereby increasing the number of non-rolled back messages processed per second. It results in a large reduction in the amount of memory used and outperforms the dynamic load balancing algorithm for these measures. The integrated scheme produces even better results for all of these measures and results in reduced execution times as well.