Simulating computer systems: techniques and tools
Simulating computer systems: techniques and tools
Introduction to parallel computing: design and analysis of algorithms
Introduction to parallel computing: design and analysis of algorithms
An important factor for optimistic protocol on distributed systems: granularity
WSC '95 Proceedings of the 27th conference on Winter simulation
Performance prediction of large parallel applications using parallel simulations
Proceedings of the seventh ACM SIGPLAN symposium on Principles and practice of parallel programming
Conservative simulation using distributed-shared memory
Proceedings of the sixteenth workshop on Parallel and distributed simulation
Performance Evaluation of a Parallel Simulation Environment
SS '99 Proceedings of the Thirty-Second Annual Simulation Symposium
A Framework for Analyzing Parallel Simulation Performance
SS '99 Proceedings of the Thirty-Second Annual Simulation Symposium
Sourcebook of parallel computing
Sourcebook of parallel computing
Parallel simulation: distributed simulation systems
Proceedings of the 35th conference on Winter simulation: driving innovation
Predicting the Performance of Synchronous Discrete Event Simulation
IEEE Transactions on Parallel and Distributed Systems
Seven-O'Clock: A New Distributed GVT Algorithm Using Network Atomic Operations
Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
Optimistic Protocol Analysis in a Performance Analyzer and Prediction Tool
Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
Performance Benchmark of a Parallel and Distributed Network Simulator
Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
Sequential Performance of Asynchronous Conservative PDES Algorithms
Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
Concurrent Replication of Parallel and Distributed Simulations
Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
An automatic distributed simulation environment
WSC '04 Proceedings of the 36th conference on Winter simulation
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This paper presents the performance evaluation of a CMB (Chandy-Misra-Bryant) protocol from the perspective of execution time. The performance of each logical process in simulation is measured. Our evaluation shows that logical processes can have different behaviors and different protocols can be used simultaneously in simulations. While some logical processes may perform well using conservative protocols, others can use optimistic protocols because otherwise most of the time these processes would be blocked unnecessarily. In order to analyze the behavior of the simulations some models were simulated using a CMB implementation called ParSMPLX. These models showed that each logical process of a simulation has a different behavior that makes it more suitable for a specific protocol, increasing the performance.