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Annual Report 2010 - Fachgruppe Informatik an der RWTH Aachen ...

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wireless ch<strong>an</strong>nel <strong>an</strong>d the physical layer dem<strong>an</strong>d precise models to capture the subtle effects<br />

<strong>an</strong>d interactions of adv<strong>an</strong>ced wireless communication technologies such as MIMO<br />

tr<strong>an</strong>smissions or successive interference c<strong>an</strong>celation. Consequently, simulation runtimes<br />

increase drastically which in turn hampers the development process <strong>an</strong>d in-depth evaluations.<br />

Being <strong>an</strong> active field of research for more th<strong>an</strong> two decades, parallel discrete event simulation<br />

is supported by a wide r<strong>an</strong>ge of network simulation frameworks. Despite this tool support,<br />

creating a parallel simulation model is still challenging <strong>an</strong>d running simulations on a<br />

distributed simulation cluster is complex. At the same time, the increasing number <strong>an</strong>d speed<br />

of processing cores in today’s commodity hardware makes a higher degree of parallelization<br />

very attractive <strong>an</strong>d cost-effective for speeding up network simulation. Nevertheless, a key<br />

challenge in parallel simulations, in particular of wireless networks, is the efficient utilization<br />

of the available processing power.<br />

In this project we address these challenges by developing a novel parallelization architecture<br />

that specifically focuses on the efficient simulation of wireless network simulation models on<br />

state-of-the-art multi-core computers. We primarily investigate me<strong>an</strong>s of extracting a<br />

maximum degree of parallelism from a given simulation model <strong>an</strong>d schemes to achieve a<br />

bal<strong>an</strong>ced work load across computing cores.<br />

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