Bootstrap resampling is an extremely practical and effective way of studying the distributional properties of simulation output when this is subject to random variation. The purpose of this paper is to show that many problems of sensitivity analysis (SA) and validation can be very simply handled

This paper describes, in general terms, methods to help design the runs for simulation models and interpreting their output. Statistical methods are described for several different purposes, and related problems like comparison, variance reduction, sensitivity estimation, metamodeling

We discuss methods for statistically analyzing the output from stochastic discrete-event or Monte Carlo simulations. Terminating and steady-state simulations are considered. 1

and describing the verification steps that are supported by the Bio-PEPA tool. In particular, we elaborate on both static analysis based on the structure of models and dynamic analysis of generated stochastic simulation traces performed using the Traviando trace analyser. We illustrate the approach with a model

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The increasing number of protein 3D structure information available makes the high-quality visualisation of this information play a more and more important role. Beside element-based representations the secondary-structurebased representation – also called cartoon representation – refers to a higher level of abstraction, representing the protein structure as tubes and ribbons. We present a method for this cartoon representation of proteins using the ability of modern graphics hardware’s geometry shaders and thus reducing the amount of data to be transferred from the CPU to the graphics card. The resulting minimisation of storage needed is of particular importance when dealing with huge datasets. High-quality images at interactive frame rates can thus be achieved. Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Line and Curve Generation

Very recent activities in the IETF and in the Routing Research Group (RRG) of the IRTG focus on defining a new Internet architecture, in order to solve scalability issues related to interdomain routing. The approach that is being explored is based on the separation of the end-systems ’ addressing space (the identifiers) and the routing locators ’ space. This separation is meant to alleviate the routing burden of the Default Free Zone, but it implies the need of distributing and storing mappings between identifiers and locators on caches placed on routers. In this paper we evaluate the cost of maintaining these caches when the distribution mechanism is based on a pull model. Taking as a reference the LISP protocol, we base our evaluation on real Netflow traces collected on the border router of our campus network. We thoroughly analyze the impact of the locator/ID separation, and related cost, showing that there is a trade-off between the dynamism of the mapping distribution protocol, the demand in terms of bandwidth, and the size of the caches. Categories and Subject Descriptors

The main purpose of this paper is to discuss the requirements of simulation output analysis software from different viewpoints: statistics, computational and user interface. The impact of lack of software support for simulation output analysis on the use of statistical techniques is discussed

Appropriate analysis of simulation output is important to the success of a simulation study. Many users, however, do not have the skills required to perform such analyses. One way of overcoming this problem is to provide automated tools for analyzing simulation output. An Excel based automated

Keyword auctions account for an enormous proportion of revenue for the major search engines. Consequently, substantial literature analyzing alternative auction designs has sprouted in recent years. We contribute to this growing literature by engaging in a simulation-based analysis of strategic