A static partitioning and mapping algorithm for conservative parallel simulations
PADS '94 Proceedings of the eighth 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
Dynamic load balancing strategies for conservative parallel simulations
Proceedings of the eleventh workshop on Parallel and distributed simulation
Dynamic load balancing in parallel discrete event simulation for spatially explicit problems
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
Experiments in load migration and dynamic load balancing in SPEEDES
Proceedings of the 30th conference on Winter simulation
Efficient Execution of Time Warp Programs on Heterogeneous, NOW Platforms
IEEE Transactions on Parallel and Distributed Systems
Load balancing for conservative simulation on shared memory multiprocessor systems
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
On Process Migration and Load Balancing in Time Warp
IEEE Transactions on Parallel and Distributed Systems
An Adaptive Partitioning Algorithm for Conservative Parallel Simulation
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Dynamic Load-Balancing for BSP Time Warp
SS '02 Proceedings of the 35th Annual Simulation Symposium
Towards a Grid Management System for HLA-Based Interactive Simulations
DS-RT '03 Proceedings of the Seventh IEEE International Symposium on Distributed Simulation and Real-Time Applications
Load Distribution Services in HLA
DS-RT '04 Proceedings of the 8th IEEE International Symposium on Distributed Simulation and Real-Time Applications
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
A Flexible Dynamic Partitioning Algorithm for Optimistic Distributed Simulation
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation
Federate Migration in a Service Oriented HLA RTI
DS-RT '07 Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications
An Efficient Dynamic Load Balancing Scheme for Distributed Simulations on a Grid Infrastructure
DS-RT '08 Proceedings of the 2008 12th IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications
Optimized Federate Migration for Large-Scale HLA-Based Simulations
DS-RT '08 Proceedings of the 2008 12th IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
Self-Adaptive Dynamic Load Balancing for Large-Scale HLA-Based Simulations
DS-RT '10 Proceedings of the 2010 IEEE/ACM 14th 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
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Load balancing is a vital mechanism for improving the performance of distributed simulations or even for enabling their execution. A balancing technique has been designed in order to provide a balancing scheme for HLA-based simulations on non-dedicated resources. However, this technique lacks efficiency by producing large amounts of unnecessary federate migrations, so a self-adaptive mechanism has been introduced in the technique in order to correct its balancing responsiveness. As a drawback, the self-adaptation technique assumes that only the frequency of federate migrations represents the balancing efficiency. This leads the scheme to present static parameters regardless of the conditions of the environment, which in turn can restrict the balancing response to imbalances. Thus, awareness to migration delays is inserted into the self-adaptive balancing scheme in order that more precise and more realistic analysis of balancing efficiency can be enabled. Experiments have been conducted to show the performance gain of the proposed scheme when compared to the distributed and self-adaptive load balancing systems.