ns2 project in Missouri

ns2 project in Missouri

     ns2 project in Missouri paper structure is the following: in section 2 we

outline some concepts about the distributed simulation of

dynamic models, specifically, the wireless ad hoc

networks; in section 3 the key issues for the ns2 project in Missouri ARTÌS and

GAIA framework implementation and the proposed

migration heuristics are defined; in section 4 a prototype

wireless system’s model and a preliminary set of

simulation results are presented; in section 5 we

summarize our conclusions and future ns2 project in Missouri work. We define a dynamic system as a system where the

interactions (i.e. the causal effects of events) are

dynamically subject to fast changes driven by the system

(and model) evolution over the simulated time. Given this ns2 project in Missouri general definition, a wireless network can be an example of a highly dynamic system.

To realize a correct evolution under the event-causality

viewpoint, every model components’ interaction should

be notified as an event-message to all the causally

dependent model components, by a runtime ns2 project in Missouri eventmessage

distribution mechanism. Complex systems with detailed and fine-grained ns2 project in Missouri simulation models can be considered communication-intensive under the distributed simulation approach. As a result, interprocess

communication may become the bottleneck of the distributed simulation paradigm. The way interprocess

communication can be sustained in distributed systems

would depend mainly on the execution units and on the communication ns2 project in Missouri support, that is, on the simulation system resources, architectures and characteristics. As an

example, message passing communication can be performed ns2 project in Missouri efficiently over shared memory architectures, while it would require medium and high communication

latencies over local and wide area network communication services. It is self evident how the

physical clustering of interacting model components on a shared memory architecture could result in the advantage to exploit the most efficient message passing

implementation. Unfortunately, in highly dynamic systems any ns2 project in Missouri optimal static clustering and allocation,

based on the current component-interaction scheme, will

become immediately suboptimal, due to the dynamics of

the model interactions. The approach used in currently available ns2 project in Missouri implementations is to consider the model component interactions, by adapting the event message distribution accordingly. No background optimization is based on the heterogeneity of available communication

infrastructure characteristics. In presence of a ns2 project in Missouri dynamic system, the event-message distribution of a distributed simulation requires a dynamic ns2 project in Missouri definition of publishing/subscribing lists, or the implementation of a complete state-sharing information