990 resultados para grid computing


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结合现有的网格技术、思想和密码计算的特点,分析了利用网格技术实现密码学计算的可行性,并结合J2EE开发方式的优势实现系统支持,最后提出了一种有效的、可行的密码计算网格平台构架.

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分析了目前网格计算中最流行的安全机制GSI(Grid Security Infrastructure,网格安全基础设施)和基于GSI的CAS(Community Authorization Service,组织授权服务),提出了一种基于本地角色授权的、能够解决大规模VO(Virtual Organization,虚拟组织)的授权问题的方案.同GSI和CAS不同的是,本方案中的用户只需要进行本地认证就能够根据其在本地组织的角色来访问VO.

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基于TCG提出的可信计算技术为网格协作安全性提出一种匿名分组身份验证算法,该算法可以非常可靠地解决网格计算平台之间的身份匿名验证问题.算法使用一个硬件模块TPM解决远程的身份验证,并通过TPM机制可以提供可靠的匿名验证和平台认证功能.算法中所有涉及的验证过程都是基于匿名机制实现的,除了实现匿名验证机制以外,算法还提供一套完整标记恶意网络实体的方法.提出了网格计算中虚拟分组的匿名认证平台架构,并在此架构基础上分成5步实现匿名验证算法,然后说明了算法在一种对等计算平台的应用实例,与GT2,GT3,GT4以及信任管理进行安全性的比较,并设计一个实验评价其性能.

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本文针对物理链路可靠性低、容错性要求高、实体异构程度高的基础设施网格化需求,在系统分析当前主流的网格体系结构的基础上,研究了移动代理(PVM)系统的特性,根据移动代理的特点,提出了基于移动代理的四层网格计算模型MAGC(Mobile Agent Based Grid Computing),描述了MAGC模型的层次结构,给出了MAGC模型的一个设计方案,分析了MAGC模型的特点,最后介绍了在Aglet平台下实现的原型系统。本文取得的成果主要包括: 第二章提出了基于移动代理的四层网格计算模型(MAGC),说明了模型中每个层次的功能和层次之间的依赖关系。MAGC模型基于代码迁移,可以解决网络环境恶劣的条件下,网格系统的运行与部署问题。设计了MAGC模型的两个重要基础结构:作业机制和消息机制。设计了移动代理平台抽象层,使网格系统独立于具体的移动代理平台,从而具有一定的可移植性。 第三章在MAGC模型的基础上,进一步给出了MAGC模型的一个实现方案,阐述了MAGC模型中四个子层的功能和组件划分,对每层所包含的组件和组件实现的功能进行了描述,说明了系统的启动方式。 第四章基于MAGC模型构建了一个原型系统,原型系统以IBM开发的Aglets移动代理软件包为基础,实现了作业机制、消息机制和MAGC模型中的移动代理平台抽象层、系统服务层、API层、应用作业层四个子层。

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针对网格环境下分布式异步动态调价算法存在均衡价格收敛过程缓慢、调价效率较低的缺点,提出了一种基于市场机制的非线性调价算法。该算法结合了当前超额需求和过去超额需求对资源价格变化的影响,较真实地刻画了需求变化后资源价格的波动过程。实验证明,非线性的调价算法明显地提高了价格收敛速度,降低了调价次数。

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Emerging configurable infrastructures such as large-scale overlays and grids, distributed testbeds, and sensor networks comprise diverse sets of available computing resources (e.g., CPU and OS capabilities and memory constraints) and network conditions (e.g., link delay, bandwidth, loss rate, and jitter) whose characteristics are both complex and time-varying. At the same time, distributed applications to be deployed on these infrastructures exhibit increasingly complex constraints and requirements on resources they wish to utilize. Examples include selecting nodes and links to schedule an overlay multicast file transfer across the Grid, or embedding a network experiment with specific resource constraints in a distributed testbed such as PlanetLab. Thus, a common problem facing the efficient deployment of distributed applications on these infrastructures is that of "mapping" application-level requirements onto the network in such a manner that the requirements of the application are realized, assuming that the underlying characteristics of the network are known. We refer to this problem as the network embedding problem. In this paper, we propose a new approach to tackle this combinatorially-hard problem. Thanks to a number of heuristics, our approach greatly improves performance and scalability over previously existing techniques. It does so by pruning large portions of the search space without overlooking any valid embedding. We present a construction that allows a compact representation of candidate embeddings, which is maintained by carefully controlling the order via which candidate mappings are inserted and invalid mappings are removed. We present an implementation of our proposed technique, which we call NETEMBED – a service that identify feasible mappings of a virtual network configuration (the query network) to an existing real infrastructure or testbed (the hosting network). We present results of extensive performance evaluation experiments of NETEMBED using several combinations of real and synthetic network topologies. Our results show that our NETEMBED service is quite effective in identifying one (or all) possible embeddings for quite sizable queries and hosting networks – much larger than what any of the existing techniques or services are able to handle.

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The factors that are driving the development and use of grids and grid computing, such as size, dynamic features, distribution and heterogeneity, are also pushing to the forefront service quality issues. These include performance, reliability and security. Although grid middleware can address some of these issues on a wider scale, it has also become imperative to ensure adequate service provision at local level. Load sharing in clusters can contribute to the provision of a high quality service, by exploiting both static and dynamic information. This paper is concerned with the presentation of a load sharing scheme, that can satisfy grid computing requirements. It follows a proactive, non preemptive and distributed approach. Load information is gathered continuously before it is needed, and a task is allocated to the most appropriate node for execution. Performance and reliability are enhanced by the decentralised nature of the scheme and the symmetric roles of the nodes. In addition, the scheme exhibits transparency characteristics that facilitate integration with the grid.

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The emergence of Grid computing technology has opened up an unprecedented opportunity for biologists to share and access data, resources and tools in an integrated environment leading to a greater chance of knowledge discovery. GeneGrid is a Grid computing framework that seamlessly integrates a myriad of heterogeneous resources spanning multiple administrative domains and locations. It provides scientists an integrated environment for the streamlined access of a number of bioinformatics programs and databases through a simple and intuitive interface. It acts as a virtual bioinformatics laboratory by allowing scientists to create, execute and manage workflows that represent bioinformatics experiments. A number of cooperating Grid services interact in an orchestrated manner to provide this functionality. This paper gives insight into the details of the architecture, components and implementation of GeneGrid.

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In this paper game theory is used to analyse the effect of a number of service failures during the execution of a grid orchestration. A service failure may be catastrophic in that it causes an entire orchestration to fail. Alternatively, a grid manager may utilise alternative services in the case of failure, allowing an orchestration to recover, A risk profile provides a means of modelling situations in a way that is neither overly optimistic nor overly pessimistic. Risk profiles are analysed using angel and daemon games. A risk profile can be assigned a valuation through an analysis of the structure of its associated Nash equilibria. Some structural properties of valuation functions, that show their validity as a measure for risk, are given. Two main cases are considered, the assessment of Orc expressions and the arrangement of a meeting using reputations.

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To utilize the advantages of existing and emerging Internet techniques and to meet the demands for a new generation of collaborative working environments, a framework with an upperware–middleware architecture is proposed, which consists of four layers: resource layer, middleware layer, upperware layer and application layer. The upperware contains intelligent agents and plug/play facilities; the former coordinates and controls multiple middleware techniques such as Grid computing, Web-services and mobile agents, while the latter are used for the applications, such as semantic CAD, to plug and loose couple into the system. The method of migrating legacy software using automatic wrapper generation technique is also presented. A prototype mobile environment for collaborative product design is presented to illustrate the utilization of the CWE framework in collaborative design and manufacture.

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This paper is concerned with the development of digital humanities infrastructure – tools and resources which make using existing e-content easier to discover, utilise and embed in teaching and research. The past development of digital content in the humanities (in the United Kingdom) is considered with its resource-focused approach, as are current barriers facing digital humanities as a discipline. Existing impacts from e-infrastructure are discussed, based largely on the authors’ own discrete or collaborative projects. This paper argues that we need to consider further how digital resources are actually used, and the ways in which future digital resources might enable new types of research questions to be asked. It considers the potential for such enabling resources to advance digital humanities significantly in the near future.