pads:a-pads
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pads:a-pads [2013/01/03 18:03] – created gdangelo | pads:a-pads [2013/01/03 18:11] – gdangelo | ||
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- | Designing, implementing and evaluating a Parallel And Distributed Simulation (PADS) middleware capable to work seamlessly and efficiently among multiple execution architectures (e.g. multi-core smartphones, | + | //Designing, implementing and evaluating a **Parallel And Distributed Simulation (PADS) middleware** capable to work **seamlessly** and **efficiently** among multiple execution architectures (e.g. multi-core smartphones, |
- | ==== Description ==== | + | ===== Description |
In the years, many simulation paradigms have been proposed, each one presenting some benefits and drawbacks. Among them, the Discrete Event Simulation (DES) is powerful in terms of expressiveness and easy to understand for the simulation models developer. DES alone or combined with other paradigms (such as agent-based simulation) has gained very good popularity in many fields (e.g. engineering, | In the years, many simulation paradigms have been proposed, each one presenting some benefits and drawbacks. Among them, the Discrete Event Simulation (DES) is powerful in terms of expressiveness and easy to understand for the simulation models developer. DES alone or combined with other paradigms (such as agent-based simulation) has gained very good popularity in many fields (e.g. engineering, | ||
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moving from an execution architecture, | moving from an execution architecture, | ||
- | === Past and ongoing activity === | + | ===== Past and ongoing activity |
- | The A-PADS research project will further extend the work done on the ARTÌS/GAIA+ [1, 2] middleware. In the past years we have obtained very good performance results using multi-CPU multi-core CPUs and LAN/WAN based clusters. Now we are working on the porting and adaptation of ARTÌS/ | + | The A-PADS research project will further extend the work done on the [[pads: |
Related work | Related work | ||
- | In the HPCS 2001 tutorial [3] we have described why a new approach is necessary for building simulators that are able to fulfill the requirements described above. In [4] the authors, have demonstrated that the Amazon EC2 infrastructure can be used for running distributed simulations with acceptable results in terms of performance and cost. In our vision, the approach introduced in [4] is a good starting point for the development of new specifically tailored mechanisms that will be able to speed up the execution of PADS on public Clouds. | + | In the [[http:// |
- | == References == | + | ===== References |
[1] [[pads: | [1] [[pads: | ||
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[3] Gabriele D' | [3] Gabriele D' | ||
- | [4] Kurt Vanmechelen, | + | [4] Kurt Vanmechelen, |
pads/a-pads.txt · Last modified: 2013/01/03 18:13 by gdangelo