Portal-based support for mental health research

This paper describes experiences with the use of the Globus toolkit and related technologies for development of a secure portal that allows nationally-distributed Australian researchers to share data and application programs. The portal allows researchers to access infrastructure that will be used to enhance understanding of the causes of schizophrenia and advance its treatment, and aims to provide access to a resource that can expand into the world’s largest on-line collaborative mental health research facility. Since access to patient data is controlled by local ethics approvals, the portal must transparently both provide and deny access to patient data in accordance with the fine-grained access permissions afforded individual researchers. Interestingly, the access protocols are able to provide researchers with hints about currently inaccessible data that may be of interest to them, providing them the impetus to gain further access permissions.

Gnomon 分布式密码计算环境设计与实现

随着网络技术和信息技术的飞速发展，互联网环境下的安全问题越来越受到 政府、军事和商业部门的重视。密码技术是信息安全的核心技术，密码算法的设 计和实现一直是信息安全学界的重要研究内容。近年来，随着计算技术和网络的 飞速发展，计算工具和模式发生了变化，出现了分布式计算、网格计算和云计算 等新技术。在国内外已经分别采取过大型机、并行计算和分布式计算等方式来提 高密码计算的速度。采用新技术来设计和实现新的密码计算平台，对密码算法的 设计、分析以及应用有重要意义。分布式计算和网格计算在信息安全领域中的应 用是本文的主要研究内容。 首先，通过分析密码计算和网格计算的特点，确定了本文的研究目标，即构 建一个通用的、高效的、可扩展的、可移植的分布式计算环境。其次，分析研究 目标的特点以及遇到的问题，详细讨论系统所采用解决方案的特点及优势。在系 统分析设计的基础上，基于Globus Toolkit 和SWT/JFace 工具包，对Gnomon 分 布式密码计算环境进行了实现，并详细介绍了各个模块的功能。最后，设计和实 现了两个问题实例：大整数因子分解和Rainbow 攻击。针对问题实例，进行了多 组实验，并给出了相应的实验结果和分析。 Gnomon 分布式计算环境为密码的分布式计算提供支持，其易用性和可扩展 性为密码分析和设计人员带来了方便。本文研究成果推动了分布式密码计算的研 究与发展。

一种网格环境下的密码计算模型

由于密码学和信息安全领域的许多问题最终都被转化为一个耗时的计算,其中许多计算需要利用多台异构的和地理分布的计算机协同,才能有效完成.密码算法的设计、分析和应用对于计算环境敏感,且依赖性较强,不同类型的算法和算法的不同实现模式对计算环境要求差异很大,而且到目前为止还不存在一种通用的分布式密码计算模型.为此,本文根据密码计算本身的需求,首先分别分析了密码算法设计、分析和应用的目标和特征,提出了相应的计算模式,给出了一种网格环境下的通用密码计算模型.进而讨论了密码计算任务分割策略,资源分配和负载平衡问题.最后给出了网格环境Globus Toolkit下的模型构架、实现与实验结果.

Gnomon分布式密码计算环境设计与实现

随着网络技术和信息技术的飞速发展，互联网环境下的安全问题越来越受到政府、军事和商业部门的重视。密码技术是信息安全的核心技术，密码算法的设计和实现一直是信息安全学界的重要研究内容。近年来，随着计算技术和网络的飞速发展，计算工具和模式发生了变化，出现了分布式计算、网格计算和云计算等新技术。在国内外已经分别采取过大型机、并行计算和分布式计算等方式来提高密码计算的速度。采用新技术来设计和实现新的密码计算平台，对密码算法的设计、分析以及应用有重要意义。分布式计算和网格计算在信息安全领域中的应用是本文的主要研究内容。 首先，通过分析密码计算和网格计算的特点，确定了本文的研究目标，即构建一个通用的、高效的、可扩展的、可移植的分布式计算环境。其次，分析研究目标的特点以及遇到的问题，详细讨论系统所采用解决方案的特点及优势。在系统分析设计的基础上，基于Globus Toolkit和SWT/JFace工具包，对Gnomon分布式密码计算环境进行了实现，并详细介绍了各个模块的功能。最后，设计和实现了两个问题实例：大整数因子分解和Rainbow攻击。针对问题实例，进行了多组实验，并给出了相应的实验结果和分析。 Gnomon分布式计算环境为密码的分布式计算提供支持，其易用性和可扩展性为密码分析和设计人员带来了方便。本文研究成果推动了分布式密码计算的研究与发展。

Wrapping Legacy Applications into Grid Services: A Case Study of a Three Services Approach

In this paper, the support for legacy application, which is one of the important advantages of Grid computing, is presented. The ability to reuse existing codes/applications in combination with other Web/Internet technologies, such as Java, makes Grid computing a good choice for developers to wrap existing applications behind Intranet or the Internet. The approach developed can be used for migrating legacy applications into Grid Services, which speeds up the popularization of Grid technology. The approach is illustrated using a case study with detailed description of its implementation step by step. Globus Toolkit is utilized to develop the system.

A tuple space implementation for large-scale infrastructures

Coordinating activities in a distributed system is an open research topic. Several models have been proposed to achieve this purpose such as message passing, publish/subscribe, workflows or tuple spaces. We have focused on the latter model, trying to overcome some of its disadvantages. In particular we have applied spatial database techniques to tuple spaces in order to increase their performance when handling a large number of tuples. Moreover, we have studied how structured peer to peer approaches can be applied to better distribute tuples on large networks. Using some of these result, we have developed a tuple space implementation for the Globus Toolkit that can be used by Grid applications as a coordination service. The development of such a service has been quite challenging due to the limitations imposed by XML serialization that have heavily influenced its design. Nevertheless, we were able to complete its implementation and use it to implement two different types of test applications: a completely parallelizable one and a plasma simulation that is not completely parallelizable. Using this last application we have compared the performance of our service against MPI. Finally, we have developed and tested a simple workflow in order to show the versatility of our service.

Metadata and Geospatial Data Processing on the Base of XML and Grid

The software architecture and development consideration for open metadata extraction and processing framework are outlined. Special attention is paid to the aspects of reliability and fault tolerance. Grid infrastructure is shown as useful backend for general-purpose task.

Grid-enabling Satellite Image Archive Prototype for UA Space Grid Testbed

* The work is partially supported by the grant of National Academy of Science of Ukraine for the support of scientific researches by young scientists No 24-7/05, " Розробка Desktop Grid-системи і оптимізація її продуктивності ”.

A study on the deployment of GA in a grid computing framework

Dissertação de Mestrado, Engenharia Informática, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

Mobiles In-a-Box : Reflections on Developing a Toolkit with Grassroots Human Rights Advocates

In 2008 Tactical Tech published 'Mobiles in-a-box': a toolkit designed to help human rights organisations and advocates use mobile technology in their work in Africa. This chapter reflects on the participatory development process used to develop the toolkit.

Building the toolkit of quality monitoring clinical outcomes as a means of assessing quality in residential care

Residential aged care in Australia does not have a system of quality assessment related to clinical outcomes, creating a significant gap in quality monitoring. Clinical outcomes represent the results of all inputs into care, thus providing an indication of the success of those inputs. To fill this gap, an assessment tool based on resident outcomes (the ResCareQA) was developed and evaluated in collaboration with residential care providers. A useful output of the ResCareQA is a profile of resident clinical status, and this paper will use such outputs to present a snapshot of nine residential facilities. Such comprehensive data has not yet been available within Australia, so this will provide an important insight. ResCareQA data was collected from all residents (N=498) of nine aged care facilities from two major aged care providers. For each facility, numerator–denominator data were calculated to assess the degree of potential clinical problems. Results varied across clinical areas and across facilities, and rank-ordered facility results for selected clinical areas are reviewed and discussed. Use of the ResCareQA to generate clinical outcome data provides a concrete means of monitoring care quality within residential facilities; regular use of the ResCareQA could thus contribute to improved care outcomes within residential aged care.

Calculation of dose kernels for radiotherapy applications using the GEANT 4 Monte Carlo toolkit

Dose kernels may be used to calculate dose distributions in radiotherapy (as described by Ahnesjo et al., 1999). Their calculation requires use of Monte Carlo methods, usually by forcing interactions to occur at a point. The Geant4 Monte Carlo toolkit provides a capability to force interactions to occur in a particular volume. We have modified this capability and created a Geant4 application to calculate dose kernels in cartesian, cylindrical, and spherical scoring systems. The simulation considers monoenergetic photons incident at the origin of a 3 m x 3 x 9 3 m water volume. Photons interact via compton, photo-electric, pair production, and rayleigh scattering. By default, Geant4 models photon interactions by sampling a physical interaction length (PIL) for each process. The process returning the smallest PIL is then considered to occur. In order to force the interaction to occur within a given length, L_FIL, we scale each PIL according to the formula: PIL_forced = L_FIL 9 (1 - exp(-PIL/PILo)) where PILo is a constant. This ensures that the process occurs within L_FIL, whilst correctly modelling the relative probability of each process. Dose kernels were produced for an incident photon energy of 0.1, 1.0, and 10.0 MeV. In order to benchmark the code, dose kernels were also calculated using the EGSnrc Edknrc user code. Identical scoring systems were used; namely, the collapsed cone approach of the Edknrc code. Relative dose difference images were then produced. Preliminary results demonstrate the ability of the Geant4 application to reproduce the shape of the dose kernels; median relative dose differences of 12.6, 5.75, and 12.6 % were found for an incident photon energy of 0.1, 1.0, and 10.0 MeV respectively.