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ABSTRACT
Discrete
Event System Specification (DEVS) is a sound formal modeling and simulation
(M&S) structure based on generic dynamic system concepts. PDEVS (Parallel
Discrete Event System Specification) is a well-known formalism for the
specification of complex concurrent systems organized as an interconnection of
atomic and coupled interacting components. The abstract simulator of a PDEVS
model is normally founded on the assumption of maximal parallelism: multiple
components are allowed to undertake at the same time an independent state
transition. Our work is to study PDEVS formalism, its operational semantics
through various implementation strategies, the cleaning of the thread-less and
the threaded implementations proposed in the PDEVS simulation engine, bench marking
of the two implementations and formal analysis of the simulation protocol.
CHAPTER
1: INTRODUCTION
1.1
Introduction to Modeling and Simulation
A
computer simulation is a computer program, or network of computers, that
attempts to generate the behaviour of an abstract mode l of a particular
system. Computer simulations have become a useful part of mathematical modeling
of many natural systems in computational physics, astrophysics, chemistry and biology,
human systems in economics, psychology, social science, and engineering.
Simulations can be used to explore and gain new insights into new technology,
and to estimate the performance of systems too complex for analytical
solutions.
Computer
simulations vary from computer programs that run a few minutes, to
network-based groups of computers running for hours, to ongoing simulations
that run for days. The scale of events being simulated by computer simulations
has far exceeded anything possible using the traditional paper-and-pencil
mathematical modeling.
Modeling
and simulation (M&S) is
the use of models, including emulators, prototypes, simulators, and
stimulators, either statically or over time, to develop data as a basis for
making managerial or technical decisions. The use of modeling and simulation
(M&S) within engineering is well recognized. Simulation technology belongs
to the tool set of engineers of all application domains and has been included
into the body of knowledge of engineering management. M&S has already
helped to reduce costs and increase the quality of products and systems.
Modeling
and Simulation is a discipline for developing a level of understanding of the
interaction of the parts of a system, and of the system as a whole. The level
of understanding which may be developed via this discipline is seldom
achievable via any other discipline.
A
system is understood to be an entity which maintains its existence
through the interaction of its parts.
A
model is a simplified
representation of the actual system intended to promote understanding. Whether
a model is a good model or not depends on the extent to which it promotes
understanding. Since all models are simplifications of reality there is always
a trade-off as to what level of detail is included in the model. If too little
detail is included in the model one runs the risk of missing relevant
interactions and the resultant model does not promote understanding. If too
much detail is included in the model, the model may become overly complicated
and actually preclude the development of understanding. One simply cannot
develop all models in the context of the entire universe.
A
simulation generally
refers to a computerized version of the model which is run over time to study
the implications of the defined interactions. Simulations are generally
iterative in their development. One develops a model, simulates it, learns from
the simulation, revises the model, and continues the iterations until an
adequate level of understanding is obtained.
Department: Computer Science (M.Sc Thesis)
Format: MS Word
Chapters: 1 - 5, Preliminary Pages, Abstract, References, Appendix.
No. of Pages: 64
Price: 20,000 NGN
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