In this chapter we describe a framework for object-oriented parallel simulation. We propose a layered approach which combines the advantages of object-oriented design and programming, with the performance provided by parallel discrete event simulation. The main characteristics of our approach is the modularity promoted by the division into layers and the organization of each layer, the extensiv...

The common use of computers, connected to the Internet, as well as insufficient level of security, allow malefactors to execute large-scale infrastructure attacks, engaging in criminal activity a huge number of computing nodes. Attacks of such type have been traditionally performing by botnets. There are examples of successful large-scale attacks fulfilled by armies of bots. For example, attack...

In every production plant, it is necessary to have an estimation of production level. Sometimes there are many parameters affective in this estimation. In this paper, it tried to find an appropriate estimation of production level for an industrial factory called Barez in an uncertain environment. We have considered a part of production line, which has different production time for different kin...

Performance is a key issue in parallel simulation. This paper proposes a standard approach for detailed performance analysis of parallel discrete event simulation. We developed it for our conservative simulation algorithm, but it can serve for parallelisation in general as well. The parallel overhead terms are introduced and model-dependency of the parallel speedup is expressed by the performan...

In the past decade, parallel processing has gained very signiicant advances in all fronts of the theory, systems, and applications. However, despite years of research and its apparent signiicance, parallel simulation remains a major outstanding challenge. In particular, there has been no simulation system which facilitates an early prediction of the program performance. In this report, we docum...

A real world system is full of uncertainties and more than often the parameters, processes or events under study are poorly understood. In order to study a real world system, we often have to make a set of assumptions about how it works using statistical, mathematical or logical relationships. Qualitative discrete event simulation involves the development of simulation models which require less...

Lyme Disease affects many people in the northeastern United States. One of the most important mechanisms that sustains the epidemic is the interaction between white-footed mice (Peromyscus leucopus) and deer ticks (Ixodes scapularis). When mice move around in their territory they carry diseased ticks to new locations. Our system simulates the different developmental stages of the tick through i...

Introducing a new hobby for other people may inspire them to join with you. Reading, as one of mutual hobby, is considered as the very easy hobby to do. But, many people are not interested in this hobby. Why? Boring is the reason of why. However, this feel actually can deal with the book and time of you reading. Yeah, one that we will refer to break the boredom in reading is choosing concurrent...

The design of telecommunication networks usually comprises three major phases. First, mathematical analysis is carried out and numerical results obtained. During this phase, simple models are used to facilitate calculations. These simple models involve hypotheses that are not realistic, leading to rough performance figures that are valid only as a first approach to the feasibility of the propos...

This paper considers a technique for composing global (barrier-style) and local (channel scanning) synchronization protocols within a single parallel discrete-event simulation. Composition is attractive because it allows one to tailor the synchronization mechanism to the model being simulated. We first motivate the problem by showing the large performance gap that can be introduced by a mismatc...