A service oriented HLA RTI on the grid

• Main Author: Pan, Ke
• Other Authors: Cai Wentong
• Format: Theses and Dissertations
• Language: English
• Published: 2010
• Subjects: DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks; DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
• Online Access: https://hdl.handle.net/10356/42392
• Institution: Nanyang Technological University

Simulation is a low cost and safe alternative to solve complex problems in many areas of business, science and engineering. To promote the interoperability and reusability of simulation applications and link geographically dispersed simulation components, distributed simulation was introduced. While the High Level Architecture (HLA) is the IEEE standard for distributed simulation, a Run Time Infrastructure (RTI) provides the actual implementation of the HLA specification. With increased size and complexity of simulation applications, large amounts of distributed computational and data resources are required. The Grid provides a flexible, secure and coordinated resource sharing environment which can facilitate distributed simulation execution. This thesis describes an open-source Service Oriented HLA RTI (SOHR) framework. SOHR provides the functionalities of an RTI as Grid services and enables distributed simulations to be conducted in a heterogeneous Grid Environment. The various services in SOHR can be dynamically deployed, discovered and undeployed, leading to a scalable distributed simulation environment. While the communications between simulation components are through Grid service invocations, the standard HLA interface is provided as a library to increase simulator reusability and interoperability. A subset of the HLA specification is implemented in a SOHR prototype based on Globus Toolkit GT4 and the experimental results show the feasibility of SOHR. Since SOHR creates a plug-and-play paradigm for an RTI implementation, this project has developed new algorithms for the HLA TM (Time Management) and DDM (Data Distribution Management) service groups.