Adaptive protocols for information dissemination in wireless sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Packing Messages as a Tool for Boosting the Performance of Total Ordering Protocls
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
RAP: A Real-Time Communication Architecture for Large-Scale Wireless Sensor Networks
RTAS '02 Proceedings of the Eighth IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'02)
Impact of Network Density on Data Aggregation in Wireless Sensor Networks
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
SPEED: A Stateless Protocol for Real-Time Communication in Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
AIDA: Adaptive application-independent data aggregation in wireless sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
Proceedings of the 35th conference on Winter simulation: driving innovation
Efficient agent-based simulation framework for multi-node supercomputers
Proceedings of the 38th conference on Winter simulation
Proceedings of the 38th conference on Winter simulation
A Comparison of Interest Manager Mechanisms for Agent-Based Simulations Using a Time Warp Executive
Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
Quantitative assessment of an agent-based simulation on a time warp executive
Proceedings of the 40th Conference on Winter Simulation
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
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Many agent-based simulation kernels rely on message passing in their core implementation. As the number of agents in a simulation increases or as the complexity of their communication expands the number of messages can increase exponentially. This is troublesome because the message content itself may be quite small, while the overhead, including message headers can dominate bandwidth and processing time. In these cases message passing becomes a bottleneck to scalability. The overhead of message exchange may saturate the network and degrade performance of the simulation. One approach to this challenge that has been investigated in related networking and simulation research centers is combining or "piggy-backing" multiple small messages together with a consolidated header. In many applications performance improves as larger, but fewer messages are sent. However, the pattern of message passing is different in the case of agent- based simulation (ABS), and this approach has not yet been explored for ABS systems. In this work we provide an overview of the design and implementation of a message piggy- backing approach for ABS systems using the SASSY platform. SASSY is a hybrid, large-scale distributed ABS system that provides an agent-based API on top of a PDES kernel. We provide a comparative performance evaluation for implementations in SASSY with a combined RMI and shared memory message passing approach. We also show performance of our new adaptive message clustering mechanism that clusters messages when advantageous and avoids clustering when the overhead of clustering dominates.