200 research outputs found

    A large-deviations analysis of the GI/GI/1 SRPT queue

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    We consider a GI/GI/1 queue with the shortest remaining processing time discipline (SRPT) and light-tailed service times. Our interest is focused on the tail behavior of the sojourn-time distribution. We obtain a general expression for its large-deviations decay rate. The value of this decay rate critically depends on whether there is mass in the endpoint of the service-time distribution or not. An auxiliary priority queue, for which we obtain some new results, plays an important role in our analysis. We apply our SRPT-results to compare SRPT with FIFO from a large-deviations point of view.Comment: 22 page

    Sojourn times in the M/G/1 FB queue with light-tailed service times

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    The asymptotic decay rate of the sojourn time of a customer in the stationary M/G/1 queue under the Foreground-Background (FB) service discipline is studied. The FB discipline gives service to those customers that have received the least service so far. We prove that for light-tailed service times the decay rate of the sojourn time is equal to the decay rate of the busy period. It is shown that FB minimises the decay rate in the class of work-conserving disciplines

    Conditional sampling for barrier option pricing under the LT method

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    We develop a conditional sampling scheme for pricing knock-out barrier options under the Linear Transformations (LT) algorithm from Imai and Tan (2006). We compare our new method to an existing conditional Monte Carlo scheme from Glasserman and Staum (2001), and show that a substantial variance reduction is achieved. We extend the method to allow pricing knock-in barrier options and introduce a root-finding method to obtain a further variance reduction. The effectiveness of the new method is supported by numerical results

    Shoot at first sight! First person shooter players display reduced reaction time and compromised inhibitory control in comparison to other video game players

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    Studies have shown that regular video game use might improve cognitive and social skills. In contrast, other studies have documented the negative outcomes of excessive gaming vis-Ă -vis health and socioprofessional spheres. Both positive and negative outcomes of video game use were linked to their structural characteristics (i.e., features that make the game appealing or are inducements for all gamers to keep playing regularly). The current study tested whether active video gamers from main genres (massively multiplayer online role-playing games, online first person shooter, multiplayer online battle arena) differed in a laboratory task that measured inhibitory control. Eighty-one gamers performed the Hybrid-Stop Task, assessing restraint (go/no-go trials) and cancellation (stop-signal trials) processes of a prepotent response. They completed additional self-reported questionnaires measuring demographics, problematic video game use, impulsivity traits, and depressive symptoms. Results showed that when confounding variables were controlled for, participants who favored online first person shooter were characterized by accelerated motor responses yet reduced abilities to cancel a prepotent response. No differences between groups were identified regarding the restraint process. The findings of this pilot study might have clear implications for video gaming research by supporting the critical importance of distinguishing between video game genres when considering their specific potential benefits and detrimental effects

    Equilibrium in size-based scheduling systems

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    Size-based scheduling is advocated to improve response times of small flows. While researchers continue to explore different ways of giving preferential treatment to small flows without causing starvation to other flows, little focus has been paid to the study of stability of systems that deploy size-based scheduling mechanisms. The question on stability arises from the fact that, users of such a system can exploit the scheduling mechanism to their advantage and split large flows into multiple small flows. Consequently, a large flow in the disguise of small flows, may get the advantage aimed for small flows. As the number of misbehaving users can grow to a large number, an operator would like to learn about the system stability before deploying size-based scheduling mechanism, to ensure that it won't lead to an unstable system. In this paper, we analyse the criteria for the existence of equilibria and reveal the constraints that must be satisfied for the stability of equilibrium points. Our study exposes that, in a two-player game, where the operator strives for a stable system, and users of large flows behave to improve delay, size-based scheduling doesn't achieve the goal of improving response time of small flows

    SOJOURN TIMES IN THE M

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    Catch them ... if you can

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    An important part of forensic science is dedicated to the evaluation of physical traces left at the crime scene like fingerprints, bullets, toolmarks etc. These traces are compared with traces from a suspect. The evaluation of physical traces can be interpreted as the comparison of two noisy signals. We introduce an evaluation of the matching of two noisy signals at diverse scales and localisations in space. In a multi-resolution way a "probability" of matching is computed. Furthermore, a description is given to evaluate the complexity of a shoemark. A likelihood ratio approach is used for comparing two shoemark traces

    Hot new directions for quasi-Monte Carlo research in step with applications

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    This article provides an overview of some interfaces between the theory of quasi-Monte Carlo (QMC) methods and applications. We summarize three QMC theoretical settings: first order QMC methods in the unit cube [0,1]s[0,1]^s and in Rs\mathbb{R}^s, and higher order QMC methods in the unit cube. One important feature is that their error bounds can be independent of the dimension ss under appropriate conditions on the function spaces. Another important feature is that good parameters for these QMC methods can be obtained by fast efficient algorithms even when ss is large. We outline three different applications and explain how they can tap into the different QMC theory. We also discuss three cost saving strategies that can be combined with QMC in these applications. Many of these recent QMC theory and methods are developed not in isolation, but in close connection with applications
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