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Proceedings. 13th IEEE International Symposium on High performance Distributed Computing, 2004.最新文献

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Grid Portal Toolkit 3.0 (GridPort) 网格门户工具包3.0 (GridPort)
M. Dahan, Mary P. Thomas, E. Roberts, A. Seth, T. Urban, David Walling, J. Boisseau
GridPort is a toolkit for developing Web-based portals and applications for computational science on top of underlying distributed and grid computing infrastructure. GridPort aggregates grid services from popular grid software packages and provides additional grid capabilities, while presenting a simple, consistent API for portal and applications developers.
GridPort是一个工具箱,用于在底层分布式和网格计算基础设施之上开发基于web的门户和计算科学应用程序。GridPort从流行的网格软件包中聚合网格服务,并提供额外的网格功能,同时为门户和应用程序开发人员提供简单、一致的API。
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引用次数: 18
Wide-area communication for grids: an integrated solution to connectivity, performance and security problems 电网广域通信:连接、性能和安全问题的综合解决方案
Alexandre Denis, Olivier Aumage, Rutger F. H. Hofman, K. Verstoep, T. Kielmann, H. Bal
Grid computing applications are challenged by current wide-area networks: firewalls, private IP addresses and network address translation (MAT) hamper connectivity, the TCP protocol can hardly exploit the available bandwidth, and security features like authentication and encryption are usually difficult to integrate. Existing systems (like GridFTP, JXTA, SOCKS) each address only one of these issues. However, applications need to cope with all of them, at the same time. Unfortunately, existing solutions are often not easy to combine, and a particular solution for one subproblem may reduce the applicability or performance of another. We identify the building blocks that are needed for connection establishment and efficient link utilization. We present an integrated solution, implemented within the Java-based Ibis runtime system. OurNetlbis implementation lets applications span multiple sites of a grid, and copes with firewalls, local IP addresses, secure communication, and TCP bandwidth problems.
网格计算应用程序受到当前广域网的挑战:防火墙、私有IP地址和网络地址转换(MAT)阻碍了连接,TCP协议很难利用可用带宽,身份验证和加密等安全特性通常难以集成。现有的系统(如GridFTP、JXTA、SOCKS)只能解决其中的一个问题。然而,应用程序需要同时处理所有这些问题。不幸的是,现有的解决方案通常不容易组合,并且一个子问题的特定解决方案可能会降低另一个子问题的适用性或性能。我们确定了建立连接和有效利用链接所需的构建块。我们提出了一个集成的解决方案,在基于java的Ibis运行时系统中实现。OurNetlbis实现允许应用程序跨越网格的多个站点,并处理防火墙、本地IP地址、安全通信和TCP带宽问题。
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引用次数: 54
Utilization of a local grid of Mac OS X-based computers using Xgrid 利用本地网格对基于Mac OS x的计算机使用Xgrid
D. Kramer, M. MacInnis
Xgrid Technical Preview 2 is a distributed computing software technology from Apple Computer, Inc. Xgrid leverages the UNIX-based capabilities of Mac OS X to enable the rapid aggregation of Macintosh systems into a simple yet powerful computational grid which can run a wide range of standard and custom solutions with minimal code changes. To demonstrate the technology, the software is run on a networked rack of Xserve G5 servers and a PowerBook G4 laptop. The demonstration shows how Xgrid is utilized to distribute long-running batch and parallel jobs to a local grid of Mac OS X-based computers.
Xgrid技术预览2是苹果公司开发的分布式计算软件技术。Xgrid利用Mac OS X基于unix的功能,使Macintosh系统能够快速聚合到一个简单而强大的计算网格中,该网格可以运行范围广泛的标准和自定义解决方案,只需进行最小的代码更改。为了演示这项技术,软件在Xserve G5服务器和PowerBook G4笔记本电脑的网络机架上运行。该演示展示了如何利用Xgrid将长时间运行的批处理和并行作业分发到基于Mac OS x的计算机的本地网格。
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引用次数: 22
GAIS: grid advanced information service based on P2P mechanism GAIS:基于P2P机制的网格高级信息服务
Wontaek Hong, Minyeol Lim, Eunsung Kim, Jongsuk Lee, Hyoungwoo Park
In this paper, we propose an information service component of Moredream which we refer to as GAIS, for providing advanced functionalities and more plentiful resource information in order to satisfy the requirements for the various applications in the K/sup */Grid computing environment characterized by both high performance and high throughput computing. In particular, GAIS includes interfaces and functionalities for the dynamic VO management, universal VO discovery, service categorization and efficient information providers. Consequently, we anticipate that our Grid information service be broadly utilized through the improved service qualities.
为了满足K/sup */网格计算环境中高性能和高吞吐量计算的各种应用需求,本文提出了Moredream的信息服务组件GAIS,提供了更高级的功能和更丰富的资源信息。特别是,GAIS包括动态VO管理、通用VO发现、服务分类和高效信息提供者的接口和功能。因此,我们期望我们的网格信息服务通过改进的服务质量得到广泛的利用。
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引用次数: 15
GRASP: a grid resource allocation system based on OGSA GRASP:基于OGSA的网格资源分配系统
Oh-Kyoung Kwon, Jaegyoon Hahm, Sangwan Kim, Jongsuk Lee
In this paper, we describe GRASP, a grid resource allocation system based on OGSA. In order to submit job to the grid resources in more efficient and convenient manner, we support some features for user-friendly resource allocation such as resource brokering, scheduling, monitoring, and so forth. GRASP supports any scientific applications with the high performance computing features such as MPI and applications with high throughput computing features such as parameter studies.
本文介绍了基于OGSA的网格资源分配系统GRASP。为了更高效、方便地向网格资源提交作业,我们支持一些用户友好的资源分配特性,如资源代理、调度、监控等。GRASP支持任何具有高性能计算功能的科学应用程序,如MPI和具有高吞吐量计算功能的应用程序,如参数研究。
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引用次数: 15
FPN: a distributed hash table for commercial applications FPN:用于商业应用的分布式哈希表
C. Dubnicki, C. Ungureanu, W. Kilian
Distributed hash tables (DHTs) provide a scalable mechanism of mapping keys onto values. DHTs are designed for fully decentralized, yet efficient object location in peer-to-peer systems. The ad-hoc and dynamic nature of P2P networks motivated existing DHTs to keep only minimum state per node, resulting in relatively long routing paths. Moreover, since the storage in existing P2P systems is essentially "free", its utilization has not been the primary focus of DHT design, resulting in systems with poor utilization. We present fixed prefix network (FPN), a prefix-based DHT designed for future commercial P2P systems supporting applications like distributed archive repository and distributed DNS. Unlike traditional P2P, the new breed is built on the assumption that the contributed resources are dedicated to the system, and are significantly more stable. Exploiting this characterization, FPN allows trading of state size for routing length, making it possible to maintain short fixed path lengths for a wide range of number of nodes. Moreover, FPN guarantees the minimum storage utilization, and in practice can deliver an 80% utilization during the lifetime of a growing system. Finally, FPN is based on a simple concept, yet delivers scalability and robustness similar to other DHTs.
分布式散列表(dht)提供了一种将键映射到值的可伸缩机制。dht是为在点对点系统中实现完全分散但高效的对象定位而设计的。P2P网络的即时性和动态性促使现有的dht只保持每个节点的最小状态,从而导致相对较长的路由路径。此外,由于现有P2P系统中的存储基本上是“免费的”,因此其利用率并不是DHT设计的主要关注点,导致系统利用率较差。我们提出了固定前缀网络(FPN),这是一种基于前缀的DHT,专为未来的商业P2P系统设计,支持分布式归档存储库和分布式DNS等应用。与传统的P2P不同,新一代的P2P是建立在这样一个假设之上的,即所贡献的资源是专用于系统的,并且要稳定得多。利用这一特性,FPN允许对路由长度的状态大小进行交易,从而可以为大范围的节点数量保持短的固定路径长度。此外,FPN保证了最低的存储利用率,在实际应用中,在一个不断增长的系统的生命周期内,可以提供80%的利用率。最后,FPN基于一个简单的概念,但提供了类似于其他dht的可扩展性和健壮性。
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引用次数: 9
Privacy-preserving data mining on data grids in the presence of malicious participants 存在恶意参与者的数据网格上的隐私保护数据挖掘
Bobi Gilburd, A. Schuster, R. Wolff
Data privacy is a major threat to the widespread deployment of data grids in domains such as health care and finance. We propose a novel technique for obtaining knowledge - by way of a data mining model - from a data grid, while ensuring that the privacy is cryptographically secure. To the best of our knowledge, all previous approaches for solving this problem fail in the presence of malicious participants. In this paper we present an algorithm which, in addition to being secure against malicious members, is asynchronous, involves no global communication patterns, and dynamically adjusts to new data or newly added resources. As far as we know, this is the first privacy-presenting data mining algorithm to possess these features in the presence of malicious participants. Simulations of thousands of resources prove that our algorithm quickly converges to the correct result. The simulations also prove that the effect of the privacy parameter on the convergence time is logarithmic.
数据隐私是数据网格在医疗保健和金融等领域广泛部署的主要威胁。我们提出了一种新的技术,通过数据挖掘模型从数据网格中获取知识,同时确保隐私是加密安全的。据我们所知,以前解决这个问题的所有方法在恶意参与者面前都失败了。本文提出了一种异步的、不涉及全局通信模式的、能够动态适应新数据或新资源的算法。据我们所知,这是第一个在恶意参与者存在的情况下具有这些特征的隐私数据挖掘算法。对数千种资源的仿真结果表明,该算法可以快速收敛到正确的结果。仿真还证明了隐私参数对收敛时间的影响是对数的。
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引用次数: 22
Evaluation of rate-based transport protocols for lambda-grids 基于速率的lambda-grid传输协议评价
Xinran Wu, A. Chien
Lambda-grids are richly interconnected collections of plentiful, geographically-distributed computing and storage resources. This rich connectivity is enabled by dedicated dense wavelength division multiplexing (DWDM) optical paths. With abundant bandwidth in the center of the network (many DWDM links), contention and sharing bottlenecks move from the network core to end systems. In such networks, traditional TCP is insufficient to provide acceptable performance. We identify the key communication characteristics of this radically different network, introducing a new multipoint-to-point communication pattern for data-intensive application. We evaluate several promising rate-based data transport protocols (RBUDP, SABUL/UDT and GTP) for lambda-grids under a range of communication patterns (single stream, multiple parallel streams, converging streams, and rapid transitions). Our experiments use a range of performance metrics, including sustained throughput and loss rate, inter- and intra-protocol fairness, protocol overhead, and rate adaptation speed to flow transitions. The results provide insights into the capabilities of these three protocols and also for improvements in design and implementation of rate-based protocols.
lambda网格是丰富的、地理上分布的计算和存储资源的互连集合。这种丰富的连接是通过专用的密集波分复用(DWDM)光路实现的。由于网络中心带宽充裕(DWDM链路较多),争用和共享瓶颈从网络核心转移到终端系统。在这样的网络中,传统的TCP不足以提供可接受的性能。我们确定了这种完全不同的网络的关键通信特征,为数据密集型应用程序引入了一种新的多点对点通信模式。我们评估了几种有前途的基于速率的数据传输协议(RBUDP, SABUL/UDT和GTP),用于在一系列通信模式(单流,多个并行流,收敛流和快速转换)下的lambda网格。我们的实验使用了一系列性能指标,包括持续吞吐量和损失率、协议间和协议内公平性、协议开销以及流转换的速率适应速度。结果提供了对这三种协议的功能的见解,以及对基于速率的协议的设计和实现的改进。
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引用次数: 17
Gridflow description, query, and execution at SCEC using the SDSC matrix 使用SDSC矩阵在SCEC中描述、查询和执行网格流
Jonathan Weinberg, A. Jagatheesan, Allen Ding, M. Faerman, Yuanfang Hu
While conventional workflow systems have been around for many years, the deployment of analogous systems onto a grid infrastructure introduces a number of unique questions and challenges. Innovative approaches to grid workflow (gridflow) are needed to leverage the heterogeneity, autonomy, dynamic behavior, and wide-area distribution that characterize grid resources. The Matrix Project carries out research and development to deliver the language descriptions and protocols necessary to build collaborative gridflow management systems for the emerging grid infrastructures. We describe here our activities to date including development of the data grid language (DGL) and the usage of the matrix gridflow management system by the Southern California Earthquake Center (SCEC) to manage its gridflows.
虽然传统的工作流系统已经存在了很多年,但是在网格基础设施上部署类似的系统会带来许多独特的问题和挑战。网格工作流(gridflow)需要创新的方法来利用网格资源的异质性、自主性、动态行为和广域分布特征。矩阵项目进行研究和开发,以提供语言描述和协议,为新兴的网格基础设施构建协作网格流管理系统。我们在这里描述了我们迄今为止的活动,包括数据网格语言(DGL)的开发以及南加州地震中心(SCEC)使用矩阵网格流管理系统来管理其网格流。
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引用次数: 10
Measuring and understanding user comfort with resource borrowing 测量和理解用户对资源借用的舒适度
A. Gupta, Bin Lin, P. Dinda
Resource borrowing is a common underlying approach in grid computing and thin-client computing. In both cases, external processes borrow resources that would otherwise be delivered to the interactive processes of end-users, creating contention that slows these processes and decreases the comfort of the end-users. How resource borrowing and user comfort are related is not well understood and thus resource borrowing tends to be extremely conservative. To address this lack of understanding, we have developed a sophisticated distributed application for directly measuring user comfort with the borrowing of CPU time, memory space, and disk bandwidth. Using this tool, we have conducted a controlled user study with qualitative and quantitative results that are of direct interest to the designers of grid and thin-client systems. We have found that resource borrowing can be quite aggressive without creating user discomfort, particularly in the case of memory and disk. We also describe an on-going Internet-wide study using our tool.
资源借用是网格计算和瘦客户机计算中常见的底层方法。在这两种情况下,外部流程都会借用原本会交付给最终用户交互流程的资源,从而产生争用,从而减慢这些流程的速度,降低最终用户的舒适度。资源借用与用户舒适度之间的关系尚不清楚,因此资源借用倾向于极端保守。为了解决这种缺乏理解的问题,我们开发了一个复杂的分布式应用程序,用于通过借用CPU时间、内存空间和磁盘带宽来直接测量用户的舒适度。使用这个工具,我们进行了一项受控的用户研究,其定性和定量结果与网格和瘦客户机系统的设计者直接相关。我们发现,资源借用可以相当积极,而不会造成用户不适,特别是在内存和磁盘的情况下。我们还描述了使用我们的工具正在进行的互联网范围的研究。
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引用次数: 68
期刊
Proceedings. 13th IEEE International Symposium on High performance Distributed Computing, 2004.
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