MoniTo 4.0, una herramienta de monitorización de clusters

La herramienta de monitorización de clusters MoniTo debe estar preparada ante los constantes cambios en el kernel de Linux que la pudieran dejar inutilizable. Para evitarlo se ha modificado su implementación utilizando librerías Libgtop. También se ha modificado su interfaz web para adaptarla a los nuevos tiempos, optimizar su funcionamiento y dotarla de nuevas posibilidades.

Disseny i implementació d'un algorisme predictiu de coscheduling dins l'espai d'usuari en un cluster Linux

Dissenyar i implementar un planificador en l'espai d'usuari basant-se en la tècnica de coscheduling, en concret s'utilitzarà coscheduling predictive. L'objectiu és intentar obtenir un rendiment similar al que es va assolir en implementacions de la mateixa tècnica realitzada en l'espai de kernel.

Anisotropic dispersion, space competition, and the slowdown of the Neolithic transition

The front speed of the Neolithic (farmer) spread in Europe decreased as it reached Northern latitudes, where the Mesolithic (huntergatherer) population density was higher. Here, we describe a reaction diffusion model with (i) an anisotropic dispersion kernel depending on the Mesolithicpopulation density gradient and (ii) a modified population growth equation. Both effects are related to the space available for the Neolithic population. The model is able to explain the slowdown of the Neolithic front as observed from archaeological data

Fronts from two-dimensional dispersal kernels: Beyond the nonoverlapping-generations model

Most integrodifference models of biological invasions are based on the nonoverlapping-generations approximation. However, the effect of multiple reproduction events overlapping generations on the front speed can be very important especially for species with a long life spam . Only in one-dimensional space has this approximation been relaxed previously, although almost all biological invasions take place in two dimensions. Here we present a model that takes into account the overlapping generations effect or, more generally, the stage structure of the population , and we analyze the main differences with the corresponding nonoverlappinggenerations results

Fronts from complex two-dimensional dispersal kernels: theory and application to Reid's paradox

Bimodal dispersal probability distributions with characteristic distances differing by several orders of magnitude have been derived and favorably compared to observations by Nathan [Nature (London) 418, 409 (2002)]. For such bimodal kernels, we show that two-dimensional molecular dynamics computer simulations are unable to yield accurate front speeds. Analytically, the usual continuous-space random walks (CSRWs) are applied to two dimensions. We also introduce discrete-space random walks and use them to check the CSRW results (because of the inefficiency of the numerical simulations). The physical results reported are shown to predict front speeds high enough to possibly explain Reid's paradox of rapid tree migration. We also show that, for a time-ordered evolution equation, fronts are always slower in two dimensions than in one dimension and that this difference is important both for unimodal and for bimodal kernels

Multisensor change detection with nonlinear canonical correlation

The analysis of multi-modal and multi-sensor images is nowadays of paramount importance for Earth Observation (EO) applications. There exist a variety of methods that aim at fusing the different sources of information to obtain a compact representation of such datasets. However, for change detection existing methods are often unable to deal with heterogeneous image sources and very few consider possible nonlinearities in the data. Additionally, the availability of labeled information is very limited in change detection applications. For these reasons, we present the use of a semi-supervised kernel-based feature extraction technique. It incorporates a manifold regularization accounting for the geometric distribution and jointly addressing the small sample problem. An exhaustive example using Landsat 5 data illustrates the potential of the method for multi-sensor change detection.

GeoKernels: Modeling of Spatial Data on GeoManifolds

This paper presents a review of methodology for semi-supervised modeling with kernel methods, when the manifold assumption is guaranteed to be satisfied. It concerns environmental data modeling on natural manifolds, such as complex topographies of the mountainous regions, where environmental processes are highly influenced by the relief. These relations, possibly regionalized and nonlinear, can be modeled from data with machine learning using the digital elevation models in semi-supervised kernel methods. The range of the tools and methodological issues discussed in the study includes feature selection and semisupervised Support Vector algorithms. The real case study devoted to data-driven modeling of meteorological fields illustrates the discussed approach.

Estimação da média com observações

Neste trabalho abordamos o problema da estimação da média de uma variável aleatória que depende de outra (ou outras) através de um modelo de regressão. O conhecimento completo da amostra permite o tratamento deste problema utilizando os métodos clássicos para a estimação da regressão. Aqui iremos estudar uma solução para o problema quando parte da informação que compõe a amostra se perde, nomeadamente, quando, na amostra que permite o tratamento do problema de regressão, algumas das ordenadas não são conhecidas, mas sim apenas o valor para variável explicativa. A solução mais simples neste caso consistiria em ignorar os pontos correspondentes da amostra. Contudo, aqui, pretende-se estudar um método que tenta tirar partido do conhecimento de que houve uma observação e que o valor desta está relacionado com a abcissa disponível através de um modelo de regressão que será aproximado à custa dos pontos da amostra conhecidos na totalidade. Numa primeira instância introduzimos os métodos não paramétricos de aproximação da regressão, a explorar, regressograma e Nadaraya- Watson. Em capítulos posteriores, descrevemos a adaptação do estimador Nadaraya-Watson ao problema das amostras incompletas. Discutemse ainda adaptações que tentam minimizar as dificuldades deste estimador quando o espaço das abcissas é de dimensão grande, assumindo que parte da função de regressão tem um comportamento linear, portanto paramétrico. Neste trabalho apresentamos resultados que asseguram a normalidade assimptótica dos estimadores definidos.

Dispersal strategies, few dominating or many coexisting: the effect of environmental spatial structure and multiple sources of mortality.

Interspecific competition, life history traits, environmental heterogeneity and spatial structure as well as disturbance are known to impact the successful dispersal strategies in metacommunities. However, studies on the direction of impact of those factors on dispersal have yielded contradictory results and often considered only few competing dispersal strategies at the same time. We used a unifying modeling approach to contrast the combined effects of species traits (adult survival, specialization), environmental heterogeneity and structure (spatial autocorrelation, habitat availability) and disturbance on the selected, maintained and coexisting dispersal strategies in heterogeneous metacommunities. Using a negative exponential dispersal kernel, we allowed for variation of both species dispersal distance and dispersal rate. We showed that strong disturbance promotes species with high dispersal abilities, while low local adult survival and habitat availability select against them. Spatial autocorrelation favors species with higher dispersal ability when adult survival and disturbance rate are low, and selects against them in the opposite situation. Interestingly, several dispersal strategies coexist when disturbance and adult survival act in opposition, as for example when strong disturbance regime favors species with high dispersal abilities while low adult survival selects species with low dispersal. Our results unify apparently contradictory previous results and demonstrate that spatial structure, disturbance and adult survival determine the success and diversity of coexisting dispersal strategies in competing metacommunities.

Riqueza de formigas (Hymenoptera, Formicidae) epigéicas em povoamentos de Eucalyptus spp. (Myrtaceae) de diferentes idades no Rio Grande do Sul, Brasil

Este estudo descreve as comunidades de formigas de solo em povoamentos de eucalipto implantados em ecossistema de restinga no Rio Grande do Sul. As coletas de formigas foram feitas em seis povoamentos de Eucalyptus grandis Hill ex Maiden e de Eucalyptus saligna Smith com idades de 31, 19, sete e cinco anos. Para as coletas de formigas, foram selecionados ao acaso 24 talhões, quatro por povoamento. Em cada talhão, foram traçados três transectos com 100 m de comprimento, afastados entre si 12 m. Ao longo dos transectos, foram enterradas 30 armadilhas, tipo pitfall, com iscas de sardinha, afastadas entre si 10 m e mantidas por 24 horas. Foi coletado um total de 21.033 formigas pertencentes a cinco subfamílias, 12 tribos, 19 gêneros e 49 espécies. De acordo com o estimador de riqueza jackknife de primeira ordem, não houve diferenças significativas entre as riquezas das comunidades de formigas considerando as espécies de eucalipto (U = 81,500; g.l.=1; P=0,582) e as idades dos povoamentos (U=2,504; g.l.=3; P=0,547). Os resultados indicam que a riqueza de espécies de formigas não está relacionada à espécie de eucalipto e/ou à idade do povoamento implantado na restinga.

Riqueza de formigas de solo na praia da Pedreira, Parque Estadual de Itapuã, Viamão, RS, Brasil

Neste trabalho são listadas as espécies de formigas de solo encontradas em três ambientes (mata nativa, barreira pedregosa e areias da orla) na praia da Pedreira, localizada na Zona de Uso Intensivo do Parque Estadual de Itapuã, município de Viamão, RS. No total, foram identificadas 60 espécies representantes de 24 gêneros, 18 tribos e oito subfamílias (Dolichoderinae, Ecitoninae, Ectatomminae, Formicinae, Heteroponerinae, Myrmicinae, Ponerinae e Pseudomyrmecinae). Dos três ambientes amostrados, de acordo com o estimador de riqueza jackknife de primeira ordem, a mata nativa apresentou a maior riqueza (Sest= 37,5), seguindo-se a barreira pedregosa (Sest= 8,9) e as areias da orla (Sest= 5,9). Apenas Acromyrmex laticeps, Crematogaster sp. e Solenopsis invicta foram comuns aos três ambientes. Neste trabalho é feito o primeiro registro de ocorrência de Pachycondyla crenata e Pachycondyla laevigata (Ponerinae) para o Rio Grande do Sul.

Malliavin calculus in finance

This article is an introduction to Malliavin Calculus for practitioners.We treat one specific application to the calculation of greeks in Finance.We consider also the kernel density method to compute greeks and anextension of the Vega index called the local vega index.

The disturbing 'rise' of global income inequality

We use aggregate GDP data and within-country income shares for theperiod 1970-1998 to assign a level of income to each person in theworld. We then estimate the gaussian kernel density function for theworldwide distribution of income. We compute world poverty rates byintegrating the density function below the poverty lines. The $1/daypoverty rate has fallen from 20% to 5% over the last twenty five years.The $2/day rate has fallen from 44% to 18%. There are between 300 and500 million less poor people in 1998 than there were in the 70s.We estimate global income inequality using seven different popularindexes: the Gini coefficient, the variance of log-income, two ofAtkinson s indexes, the Mean Logarithmic Deviation, the Theil indexand the coefficient of variation. All indexes show a reduction in globalincome inequality between 1980 and 1998. We also find that most globaldisparities can be accounted for by across-country, not within-country,inequalities. Within-country disparities have increased slightly duringthe sample period, but not nearly enough to offset the substantialreduction in across-country disparities. The across-country reductionsin inequality are driven mainly, but not fully, by the large growth rateof the incomes of the 1.2 billion Chinese citizens. Unless Africa startsgrowing in the near future, we project that income inequalities willstart rising again. If Africa does not start growing, then China, India,the OECD and the rest of middle-income and rich countries diverge awayfrom it, and global inequality will rise. Thus, the aggregate GDP growthof the African continent should be the priority of anyone concerned withincreasing global income inequality.

Measuring ecological niche overlap from occurrence and spatial environmental data

1. Aim - Concerns over how global change will influence species distributions, in conjunction with increased emphasis on understanding niche dynamics in evolutionary and community contexts, highlight the growing need for robust methods to quantify niche differences between or within taxa. We propose a statistical framework to describe and compare environmental niches from occurrence and spatial environmental data.¦2. Location - Europe, North America, South America¦3. Methods - The framework applies kernel smoothers to densities of species occurrence in gridded environmental space to calculate metrics of niche overlap and test hypotheses regarding niche conservatism. We use this framework and simulated species with predefined distributions and amounts of niche overlap to evaluate several ordination and species distribution modeling techniques for quantifying niche overlap. We illustrate the approach with data on two well-studied invasive species.¦4. Results - We show that niche overlap can be accurately detected with the framework when variables driving the distributions are known. The method is robust to known and previously undocumented biases related to the dependence of species occurrences on the frequency of environmental conditions that occur across geographic space. The use of a kernel smoother makes the process of moving from geographical space to multivariate environmental space independent of both sampling effort and arbitrary choice of resolution in environmental space. However, the use of ordination and species distribution model techniques for selecting, combining and weighting variables on which niche overlap is calculated provide contrasting results.¦5. Main conclusions - The framework meets the increasing need for robust methods to quantify niche differences. It is appropriate to study niche differences between species, subspecies or intraspecific lineages that differ in their geographical distributions. Alternatively, it can be used to measure the degree to which the environmental niche of a species or intraspecific lineage has changed over time.

Interactive local bandwidth choice

A tool for user choice of the local bandwidth function for a kernel density estimate is developed using KDE, a graphical object-oriented package for interactive kernel density estimation written in LISP-STAT. The bandwidth function is a cubic spline, whose knots are manipulated by the user in one window, while the resulting estimate appears in another window. A real data illustration of this method raises concerns, because an extremely large family of estimates is available.