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
system.