Admission control for a responsive distributed middleware using decision trees to model run-time parameters

The software in modern systems has become too complex to make accurate predictions about their performance under different configurations. Real-time or even responsiveness requirements cannot be met because it is not possible to perform admission control for new or changing tasks if we cannot tell how their execution affects the other tasks already running. Previously, we proposed a resource-allocation middleware that manages the execution of tasks in a complex distributed system with real-time requirements. The middleware behavior can be modeled depending on the configuration of the tasks running, so that the performance of any given configuration can be calculated. This makes it possible to have admission control in such a system, but the model requires knowledge of run-time parameters. We propose the utilization of machine-learning algorithms to obtain the model parameters, and be able to predict the system performance under any configuration, so that we can provide a full admission control mechanism for complex software systems. In this paper, we present such an admission control mechanism, we measure its accuracy in estimating the parameters of the model, and we evaluate its performance to determine its suitability for a real-time or responsive system.     

Formal modelling of organisational goals based on performance indicators

Every organisation exists or is created for the achievement of one or more goals. To ensure continued success, the organisation should monitor its performance with respect to the formulated goals. In practice the performance of an organisation is often evaluated by estimating its performance indicators. In most existing approaches for organisation modelling the relation between performance indicators and goals remains implicit. This paper proposes a formal framework for modelling goals based on performance indicators and defines mechanisms for establishing goal satisfaction, which enable evaluation of organisational performance. Methodological and analysis issues related to goals are also discussed in the paper. The described framework is a part of a general framework for organisation modelling and analysis.     

谈局域网的性能优化

在局域网运行和维护的过程中,网络管理员不仅要确保网络能够提供正常的服务,还要采取各种措施保证网络能够可靠、安全、高效地运行,从整个网络的角度提高网络的性能。     

论前卫艺术对艺术教育发展现状的影响

中国的前卫艺术近年来呈现出概念化、随意化的发展趋势,这一现象在艺术教育方面并没有得到足够的重视。艺术的创新要以本身的准则不能被突破为前提,而不是一味地为创新而创新。艺术的基础学习和文化修养更为重要,要注重学生的人格发展,培养具有健全人格、具备综合素质的适应社会发展的创造型人才。     

Performance of N-body codes on hybrid machines

N-body codes are routinely used for simulation studies of physical systems, e.g. in the fields of computational astrophysics and molecular dynamics. Typically, they require only a moderate amount of run-time memory, but are very demanding in computational power. A detailed analysis of an N-body code performance, in terms of the relative weight of each task of the code, and how this weight is influenced by software or hardware optimisations, is essential in improving such codes. The approach of developing a dedicated device, GRAPE [J. Makino, M. Taiji, Scientific Simulations with Special Purpose Computers, Wiley, New York, 1998], able to provide a very high performance for the most expensive computational task of this code, has resulted in a dramatic performance leap. We explore on the performance of different versions of parallel N-body codes, where both software and hardware improvements are introduced. The use of GRAPE as a ‘force computation accelerator’ in a parallel computer architecture, can be seen as an example of a hybrid architecture, where special purpose device boards help a general purpose (multi)computer to reach a very high performance.     

Directional stimulus-response compatibility: a test of three alternative principles

The basis of directional stimulus-response compatibility was studied using a task in which 128 participants moved a cursor into targets with a joystick, resembling the operation of certain industrial and construction equipment. Compatible and incompatible versions of three alternative compatibility principles were compared in all combinations. Visual Field (VF) compatibility was present if cursor and controlling limb movement were in the same direction in the visual field, Control Display (CD) compatibility meant that the control motion was in the same direction as, and parallel to, cursor motion, and Muscle Synergy (MS) compatibility was defined as use of the muscle synergy normally associated with the required direction as seen in the visual field. VF-compatible conditions had significantly shorter reaction, movement and homing times, and fewer reversal errors, for males and females, in two testing sites. These advantages were maintained over practice. VF compatibility was confirmed as a robust spatial compatibility principle that is affected by neither the orientation of the operator's limb or head, nor the muscle synergy used in executing the task. It offers not only more rapid performance, but also a markedly reduced rate of potentially dangerous directional errors. The relationship between this finding and theoretical aspects of stimulus-response compatibility is discussed.     

A probabilistic integrated object recognition and tracking framework

This paper describes a probabilistic integrated object recognition and tracking framework called PIORT, together with two specific methods derived from it, which are evaluated experimentally in several test video sequences. The first step in the proposed framework is a static recognition module that provides class probabilities for each pixel of the image from a set of local features. These probabilities are updated dynamically and supplied to a tracking decision module capable of handling full and partial occlusions. The two specific methods presented use RGB color features and differ in the classifier implemented: one is a Bayesian method based on maximum likelihood and the other one is based on a neural network. The experimental results obtained have shown that, on one hand, the neural net based approach performs similarly and sometimes better than the Bayesian approach when they are integrated within the tracking framework. And on the other hand, our PIORT methods have achieved better results when compared to other published tracking methods in video sequences taken with a moving camera and including full and partial occlusions of the tracked object.     

基于边际贡献的销售绩效考核设想

怎样对产品种类繁多、产品盈利能力差别很大的企业销售人员进行绩效考核，正确评价这些销售人员的业绩，是生产产品种类繁多、产品盈利能力差别很大的企业人力资源管理面临的一个重要课题。本文试图通过建立基于边际贡献的销售绩效考核体系这一方法，给相关类似企业提供一点思路。     

60m~3/h变压吸附制氮设备改造

介绍了60m3/h变压吸附制氮设备改造前存在的主要问题、改造的主要措施及改造前后设备的性能比较,分析了改造中的一些体会和需注意的事项。     

改性沥青关键问题的讨论

本文就改性沥青的路用性能、影响改性效果的关键因素、改性沥青技术指标与规范以及改性沥青的应用进行了讨论和分析，有关结论对于改性沥青的研究、开发及应用具有指导和参考价值。