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Modeling and simulation are traditional methods used to evaluate wireless network design, this paper provides a discrete event simulation modeling tool built using Borland c++ builder 6 to modeling a GPSR protocol routing process in ad hoc wireless network, this paper describe the main components of discrete event simulation tool used in building any di...Show More
Within the embedded software design process, formal methods including formal specifications and formal verifications can be used to check designs, with the goal of ensuring the requirements of embedded software, such as reliability and concurrency. This paper presents a means to formally describe the discrete event models of Ptolemy II that is a modeling and simulation environmen...Show More
Real-time network simulation refers to simulating computer networks in real time so that the virtual network can interact with real implementations of network protocols, network services, and distributed applications. This paper proposes a new model for real-time simulation of large-scale networks based on powerful network processor. The scheme takes advantage of discrete even...Show More
In this paper we present event sensitive state saving as a novel idea for sparse state saving in Time Warp synchronized parallel discrete event simulations. This state saving model is aimed at efficient simulation of models where the execution time or granularity for different types or classes of events typically has a large variance. The event sensitive s...
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Critical national infrastructures for power, emergency services, finance, and other basic industries rely heavily on information and telecommunications networks (voice, data, and video) to provide services and conduct business. The telecommunication network is recognized by the federal government as one of the critical national infrastructures that must be maintained and protected against de...Show More
Airport safeguard mission planning is a complex discrete event system that requires multiple professionals, crews, and devices to work together. A set of efficient and complete safeguard methods can ensure that fighters take off and fight in the shortest time and optimal condition, which can greatly improve the combat effectiveness. In this paper, by studying the process and characteri...Show More
Event graph is a way of graphically representing discrete-event simulation models, which uses a single type of nodes along with two kinds of edges to describe the logics among discrete events. Although it is simple enough, event graph is extremely powerful, which can apply graph directly to model of event lists. Therefore, it rapidly becomes an ideal...Show More
The DEVS modeling and simulation framework its fundamental concepts are discussed from the standpoint of discrete event information processing with an example drawn from recent experiments on infant cognition is reviewed. We also cover the DEVS formalism's atomic and coupled models and its hierarchical, modular composition approach. Some industrial applications of the methodology...Show More
The problem of sharing resources in telecommunications networks has benefited from a rich theoretical development in the area of statistical multiplexing. Integrating data and other very bursty traffic on these networks changes the way of managing the concurrent access to network resources. Discrete event simulation is used in the paper for the quantitative analysis of the ...Show More
The competitive pressure and high costs of software maintenance force many IT organizations to carefully analyze and redesign their maintenance process. Identifying the changes that can remedy process deficiencies is not an easy task. Moreover, considerable risk is associated with implementing the proposed changes, since inadequate process design may cause a significant financial loss. The authors...Show More
This paper presents the analysis and modeling of transient traffic source of temporal visual signals for discrete event simulation. Transient nature implies the inability of applying established traffic theory that assumes stochastic processes. The focus is on the transient traffic of foreground object due to its motions as well as camera panning and zoom. We show that such trans...Show More
To remain competitive in a turbulent and rapidly evolving market, telecommunication companies have found it necessary to invest large sums of money on the latest technologies and IT infrastructure. These investments have been a serious drain on the financial resources of these companies who are now seeking ways to pare costs and regain their financial footing. This new reality is increasingly forc...Show More
In this paper we present a new approach for using semantic web technologies in modeling and simulation. In recent years ontologies have been used popularly in many fields to represent and structure their concepts. This work is an attempt to create a specific ontology for the process oriented discrete event simulation domain. The ontology instances represent the model instan...Show More
We propose a new conservative, time-window protocol for parallel discrete event simulation where the simulation system and the physical system used can both be modeled as a star network, in which one central node is connected to every other node. The success of our algorithm is also dependent of the lookahead predictability of the system to be simulated. The entire approach...Show More
An approach to rare event simulation uses the technique of splitting. The basic idea is to split sample paths of the stochastic process into multiple copies when they approach closer to the rare set; this increases the overall number of hits to the rare set for a given amount of simulation time. This paper analyzes the bias and efficiency of some simple cases of this method.
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Simulating rare events in telecommunication networks such as estimation for cell loss probability in asynchronous transfer mode (ATM) networks requires a major simulation effort due to the slight chance of buffer overflow. Importance sampling (IS) is applied to accelerate the occurrence of rare events. Importance sampling depends on a biasing scheme to make the estimator from IS ...Show More
Capital expenditures for a network operator have often and in high detail been considered in different studies. In contrast there are little or no studies in which a detailed (quantitative) study is made on operational expenditures (OpEx). Existing studies on operational expenditures for network operators propose classification and models for existing operational processes and are aimed at a cost ...Show More
We present a general framework for a combined optimization/simulation approach where constraints to be satisfied are identified from results of simulation evaluation of the proposed system alternative, and then these constraints are added to the optimization model for re-optimization. The proposed cutting-plane-like procedure is iterative and terminates when an "optimal" solution of a ...Show More
Discrete event simulation is frequently time-consuming either because modern dynamic systems, such as telecommunication networks, are becoming increasingly complex and/or a great number of observations is required to yield reasonably accurate results. An interesting approach to reduce the time duration of simulation is that of concurrently running multiple replications in p...Show More
This paper presents a cloud computing architecture for discrete event system modeling and simulation. Simulators with models used in the cloud computing are considered as web services which are accessed via web browser. This environment supports the simulation of homogeneous or heterogeneous models without much knowledge of discrete event modeling and simulat...Show More
This paper describes project Springfield, a real-time distributed simulation of a mobile telecommunications network. Springfield permits real-time viewing and modification of the simulation and its parameters, which is ideal for capacity planning and performance modeling. An object-oriented, distributed simulator was implemented in Java and speedups of up to three times were obta...Show More
Efficient design and evaluation of complex wireless communication systems in terms of spectrum reuse can be accomplished using advanced simulation environments. To this goal, network modelling and simulation methodologies are the most critical issues, thus, several Discrete Event Simulation (DES) schemes have been introduced in the literature. In a real wireless netwo...Show More
We describe ATM Simulator (AS), a simulation-based traffic analysis tool for ATM networks and related protocols. Concentrating on basic problems of acceleration of an event driven simulator, we explain our solutions for the realization of specific simulator features and present several useful implementation tips and tricks. We bring solutions for efficient modeling of CBR (constant bit...Show More