Federate migration in HLA-based simulation
Future Generation Computer Systems
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
A grid-based DEVS approach to dynamic load balancing for large scale distributed simulations
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Federate migration in HLA-based simulation
Future Generation Computer Systems
Model-based code generation for HLA federates
Software—Practice & Experience
A grid service for management of multiple HLA federate processes
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
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The Grid enables large-scale resource sharing and makes it viable for running large-scale parallel and distributed simulations. The High Level Architecture (HLA) paradigm provides a software platform and interoperability interface for simulation components to utilize these hardware resources. However, neither the Grid nor the HLA provides mechanism for resourcemanagement for parallel and distributed simulations. It is also noticed that substantial effort is required for writing program that conforms to the Runtime Infrastructure (RTI) requirements because of its complexity. In this paper, we introduce a framework for designing and executing parallel simulation using the RTI. The framework is also designed to assist load balancing and checkpointing. With the code library from our framework, the modeler is able to complete the design of a parallel simulation that runs on RTI by specifying the simulation configuration and the handling detail of each event. Our framework incorporates automaticcode generation. It also uses Data Distribution Management to route simulation events (interactions) to achieve efficient use of network bandwidth.