Publishing H2O pluglets in UDDI registries

Interoperability and standards, such as Grid Services are a focus of current Grid research. The intent is to facilitate resource virtualization, and to accommodate the intrinsic heterogeneity of resources in distributed environments. It is important that new and emerging metacomputing frameworks conform to these standards, in order to ensure interoperability with other grid solutions. In particular, the H2O metacomputing system offers several benefits, including lightweight operation, user-configurability, and selectable security levels. Its applicability would be enhanced even further through support for grid services and OGSA compliance. Code deployed into the H2O execution containers is referred to as pluglets. These pluglets constitute the end points of services in H2O, services that are to be made known through publication in a registry. In this contribution, we discuss a system pluglet, referred to as OGSAPluglet, that scans H2O execution containers for available services and publishes them into one or more UDDI registries. We also discuss in detail the algorithms that manage the publication of the appropriate WSDL and GSDL documents for the registration process

Magnetic pulse welding

The contemporary construction industry is evolving with a rapid pace and is pushing technological boundaries. Together with that progress new requirements on joints and joining techniques are imposed. This paper describes our research concerning an advanced joining technique, the Magnetic Pulse Welding process (MPW). The first part of this article briefly describes the MPW process and summarizes the differences with respect to conservative welding techniques. Secondly an analytical model of the process will be investigated on accuracy. This model was developed by the manufacturer of the MPW machine used at the Belgian Welding Institute. Further a description is given of the methods which are used to investigate the experimental joints. After describing the recently performed experiments, finally an overview will be given depicting the work that will be carried out during the rest of this master thesi

Numerical bifurcation analysis of pattern formation in a cell based auxin transport model

Transport models of growth hormones can be used to reproduce the hormone accumulations that occur in plant organs. Mostly, these accumulation patterns are calculated using time step methods, even though only the resulting steady state patterns of the model are of interest. We examine the steady state solutions of the hormone transport model of Smith et al (2006) for a one-dimensional row of plant cells. We search for the steady state solutions as a function of three of the model parameters by using numerical continuation methods and bifurcation analysis. These methods are more adequate for solving steady state problems than time step methods. We discuss a trivial solution where the concentrations of hormones are equal in all cells and examine its stability region. We identify two generic bifurcation scenarios through which the trivial solution loses its stability. The trivial solution becomes either a steady state pattern with regular spaced peaks or a pattern where the concentration is periodic in time.Comment: submitte

Task-Set Generator for Schedulability Analysis using the TACLeBench benchmark suite

ABSTRACT Current real-time embedded systems evolve towards complex systems using new state of the art technologies such as multi-core processors and virtualization techniques. Both technologies requires new real-time scheduling algorithms. For uniprocessor scheduling, utilization-based evaluation methodologies are common and well-established. For multicore systems and virtualization, evaluating and comparing scheduling techniques using the tasks' parameters is more realistic. Evaluating these different scheduling techniques requires relevant and standardised task sets. Scheduling algorithms can be evaluated on three evaluation levels: 1) by using the mathematical model of the scheduling algorithm, 2) by simulating the scheduling algorithm and 3) by implementing the algorithm on the target platform. Generating task sets is straightforward in case of the first two levels; only the parameters of the tasks are required. Evaluating and comparing scheduling algorithms on the target platform itself, however, requires real executable tasks matching the predefined standardised task sets. Generating those executable tasks is not standardized yet. Therefore, we developed a task-set generator that generates reproducible, standardised task sets that are suitable at all levels. Beside generating the tasks' parameters, it includes an executable generator methodology that generates executables by combining publicly available benchmarks with know execution times. This paper presents and evaluates this task-set generator. The executables approximate the wanted execution time on the hardware platform

How grass keeps growing : an integrated analysis of hormonal crosstalk in the maize leaf growth zone

We studied the maize leaf to understand how long-distance signals, auxin and cytokinin, control leaf growth dynamics. We constructed a mathematical model describing the transport of these hormones along the leaf growth zone and their interaction with the local gibberellin (GA) metabolism in the control of cell division. Assuming gradually declining auxin and cytokinin supply at the leaf base, the model generated spatiotemporal hormone distribution and growth patterns that matched experimental data. At the cellular level, the model predicted a basal leaf growth as a result of cell division driven by auxin and cytokinin. Superimposed on this, GA synthesis regulated growth through the control of the size of the region of active cell division. The predicted hormone and cell length distributions closely matched experimental data. To correctly predict the leaf growth profiles and final organ size of lines with reduced or elevated GA production, the model required a signal proportional to the size of the emerged part of the leaf that inhibited the basal leaf growth driven by auxin and cytokinin. Excision and shading of the emerged part of the growing leaf allowed us to demonstrate that this signal exists and depends on the perception of light intensity

Applying numerical continuation to the parameter dependence of solutions of the Schr\"odinger equation

In molecular reactions at the microscopic level the appearance of resonances has an important influence on the reactivity. It is important to predict when a bound state transitions into a resonance and how these transitions depend on various system parameters such as internuclear distances. The dynamics of such systems are described by the time-independent Schr\"odinger equation and the resonances are modeled by poles of the S-matrix. Using numerical continuation methods and bifurcation theory, techniques which find their roots in the study of dynamical systems, we are able to develop efficient and robust methods to study the transitions of bound states into resonances. By applying Keller's Pseudo-Arclength continuation, we can minimize the numerical complexity of our algorithm. As continuation methods generally assume smooth and well-behaving functions and the S-matrix is neither, special care has been taken to ensure accurate results. We have successfully applied our approach in a number of model problems involving the radial Schr\"odinger equation

Numerical Continuation of Bound and Resonant States of the Two Channel Schr\"odinger Equation

Resonant solutions of the quantum Schr\"odinger equation occur at complex energies where the S-matrix becomes singular. Knowledge of such resonances is important in the study of the underlying physical system. Often the Schr\"odinger equation is dependent on some parameter and one is interested in following the path of the resonances in the complex energy plane as the parameter changes. This is particularly true in coupled channel systems where the resonant behavior is highly dependent on the strength of the channel coupling, the energy separation of the channels and other factors. In previous work it was shown that numerical continuation, a technique familiar in the study of dynamical systems, can be brought to bear on the problem of following the resonance path in one dimensional problems and multi-channel problems without energy separation between the channels. A regularization can be defined that eliminates coalescing poles and zeros that appear in the S-matrix at the origin due to symmetries. Following the zeros of this regularized function then traces the resonance path. In this work we show that this approach can be extended to channels with energy separation, albeit limited to two channels. The issue here is that the energy separation introduces branch cuts in the complex energy domain that need to be eliminated with a so-called uniformization. We demonstrate that the resulting approach is suitable for investigating resonances in two-channel systems and provide an extensive example