Active Logistical State Management for Distributed and Grid Application Environments

ALSM代表了分布式状态管理在物流计算和网络（LoCI）研究计划中的一个重要的新阶段。IP模型对于分布式计算来说太有限了，因为它不包括管理终端系统（即中间节点）之间的应用程序状态的可能性。LoCI方法的独特贡献在于，它不仅模拟了这种可能性，而且没有牺牲网络所必需的可伸缩性。虽然不认为IP模型足以用于分布式系统，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。遵循端到端范式，pi创建了Internet Backplane Protocol (IBP)，这是管理分布式存储的基本机制。使用基于ibp的中间节点（称为仓库），网络本身可以注入存储资源，这些存储资源可以被共享、扩展和公开，以供外部调度使用，就像IP服务一样。已经部署了一个超过22TB存储容量的测试平台，分布在20个国家的250个仓库中，各种应用小组目前正在使用该测试平台来探索该技术。遵循LoCI设计理念，ALSM。我们的指导假设是这样的：如果通过遵循端到端原则，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，那么就可以创建一个可编程的网络资源结构，该网络资源结构能够提供网格应用程序所需的那种活动状态管理。该工作将包括以下主要活动：o设计活动仓库和ALSM中间件：将优化活动仓库架构以有效地支持数据转换；o启用GridSolve-L应用程序环境：NetSolve将适应使用ALSM中间件，这样NetSolve应用程序可以发出逻辑指令，利用数据局部模式，并将状态处理卸载到ALSM基础设施中的活动仓库。这个积分的结果是GridSolve-L。o在网格可视化应用程序中验证ALSM：我们将研究使用ALSM来实现远程可视化管道，使用GridSolve-L下的真实医学成像应用程序；操作将酌情分离到用于状态管理的活动仓库和用于主要计算的GridSolve-L上。

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.