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Active Logistical State Management for Distributed and Grid Application Environments

Active Logistical State Management for Distributed and Grid Application Environments
分布式和网格应用环境的主动物流状态管理
批准号:
0437508
负责人:
Jian Huang
金额:
$58.71万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-09-01 至 2007-08-31

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中文摘要
翻译
ALSM代表了分布式状态管理的物流计算和互联(LOCI)研究计划的一个重要新阶段。IP模型对于分布式计算来说过于有限,因为它不包括在终端系统之间(即在中间节点处)管理应用状态的可能性。LOCI方法的独特贡献在于,它不仅对这种可能性进行建模,而且不会牺牲联网所必需的可扩展性。虽然不认为IP模型对于分布式系统是足够的,但该项目的策略是将作为该模型基础的端到端设计原则重新应用于存储和处理器资源。第一个目标是存储。遵循端到端范例,PI创建了互联网底板协议(IBP),这是用于管理分布式存储的原始机制。有了基于IBP的中间节点(称为仓库),网络本身就可以注入存储资源,这些存储资源可以共享、扩展和公开供外部调度使用,就像IP服务一样。已部署了一个存储容量超过22TB的试验台,分布在20个国家的250个仓库中,多个应用小组目前正在使用该试验床来探索这项技术。遵循现场设计思想,ALSM的指导性假设是:如果遵循端到端的原则,可以将通用的尽力而为的计算服务集成到可扩展的物流网络中,那么可以创建一个能够提供网格应用所需的主动状态管理的可编程网络资源结构。工作将包括以下主要活动:o设计主动仓库和ALSM中间件:将优化主动仓库体系结构,以有效地支持数据传输;将创建中间件来将高级网络视图映射到IBP和NFU的弱语义上,使用复杂的端到端技术来生成可靠性、性能等。为了支持GridSolve-L应用环境:NetSolve将被调整为使用ALSM中间件,以便NetSolve应用程序可以发布后勤指令,以利用数据局部性模式并将状态处理卸载到ALSM基础设施中的活动仓库。这种集成的结果是GridSolve-L.为了在网格可视化应用程序中验证ALSM:我们将使用GridSolve-L下的真实医疗成像应用程序,研究如何使用ALSM来实现远程可视化管道;操作将视情况分离到活动仓库以进行状态管理,并将GridSolve-L用于主要计算。
英文摘要
ALSM represents a major new stage in a research program in Logistical Computing and Internetworking, (LoCI), for distributed state management. The IP model is too limited for distributed computing because it does not include the possibility of managing application state between end systems (i.e. at intermediate nodes). The unique contribution of the LoCI approach is that it not only models this possibility, it does so without sacrificing the scalability essential to networking.While not viewing the IP model as sufficient for distributed systems, the project's strategy is to reapply the end-to-end design principles that underlie that model to storage and processor resources. The first target was storage. Following the end-to-end paradigm, the PIs created the Internet Backplane Protocol (IBP), which is a primitive mechanism for managing distributed storage. With IBP-based intermediate nodes, called depots, the network itself can be infused with storage resources that can be shared, scaled up, and exposed for external scheduling, much like IP service is. A testbed provisioned with more than 22TB of storage, spread among 250 depots in 20 countries has been deployed, and a variety of application groups are currently using the testbed to explore the technology.Following the LoCI design philosophy, ALSM.s guiding hypothesis is this: If, by adhering to end-to-end principles, a generic, best effort computing service can be integrated into ascalable logistical network, then a programmable network resource fabric can be created that is capable of providing the kind of active state management that grid applications require.The work will encompass the following main activities:o Design Active Depots and ALSM middleware: will optimize active depot architecture to efficiently support data transformation; middleware will be created to map a high level network view onto the weak semantics of IBP and the NFU, using sophisticated end-to-end techniques to generate reliability, performance, etc.o Enable GridSolve-L application environment: NetSolve will be adapted to use ALSM middleware so that NetSolve applications can issue logistical directives to exploit data locality patterns and offload state processing to active depots in the ALSM infrastructure. The result of this integration is GridSolve-L.o Validate ALSM in a grid visualization application: We will investigate the use of ALSM to implement a remote visualization pipeline, using a real-world medical imaging application under GridSolve-L; operations will separate as appropriate onto active depots for state management and GridSolve-L for major computation.
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CAREER: Towards Learning-Based Storage Systems with Hardware-Software Co-Design
Collaborative Research: Elements: Towards A Scalable Infrastructure for Archival and Reproducible Scientific Visualizations
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