In order to simulate a large scale and complex model, a distributed simulation normally may require to harness and organise a huge amount of computing and network resources to support the simulation. A computational Grid is a novel distributed computing system that is able to organise virtually unlimited computing and network resources together to meet the resource requirements of various computational intensive problems. This thesis focuses on the issues of the integration of a distributed simulation and a computational Grid. Particularly, the dynamic and heterogeneous nature of Grid resources and the potentiaJIy high communication latencies between these resources are identified as the main chaJIenges to the performance of a distributed simulation running on a computational Grid. This thesis proposes a generic framework that provides a systematic solution to tackle these challenges and supports the execution, management and optimisation of a distributed simulation program on a computational Grid. A prototype of the framework is also implemented and evaluated. Within the prototype implementation, an adaptive control mechanism for optimising the execution of a Time Warp Parallel Discrete Event Simulation program on a computational Grid is developed and evaluated.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:487476 |
| Date | January 2006 |
| Creators | Ming, Jiang |
| Publisher | University of Birmingham |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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