SOFTWARE: Adaptive-XML: Tools for Collaborative Network Computing

现代科学是一个日益分散的企业，特别是在解决具有挑战性的科学问题时，多学科研究团队，团队成员通常来自多所大学，国家实验室和行业参与者。这种分布式工作的一个普遍问题是需要在多个团队、站点、应用程序和机器之间有效地共享科学数据。该项目的重点是表示这些数据的能力，以便在每个使用自己的，定义良好的和特定于域的数据表示的研究团队之间轻松共享。S（scientific）-XML是一套工具，用于将用户友好的基于XML的共享数据元信息转换为高性能科学代码所使用的特定于应用程序的、高效的、基于二进制的数据结构描述。使用S-XML，最终用户可以方便地表达和查看他们的结构化数据，但所有的数据操作和交换都是使用有效的二进制数据表示来执行的。作为对这些工具的补充，XML-ECho自适应的XML感知对等通信基础设施实现了科学协作中使用的大规模二进制数据的广域交换，该中间件使用运行时自适应来动态调整其数据传输和操作动作，以满足应用级服务质量需求。具体地说，通过基于XML的数据结构描述，最终用户可以动态地表达和改变兴趣表达，这些兴趣表达表明什么数据对他们最重要，因此应该优先传输。由此产生的Adaptive-XML工具和数据交换中间件将使科学工作中的有效协作成为可能，而这些协作在今天的技术下仍然是不可行的。一个具体的例子是Terascale超新星计划，目前正在由一个分布在美国大学和国家实验室的大型研究团队进行。项目成果也将使美国公司受益，这一点从我们与斯伦贝谢等公司的讨论以及我们在行业试验台上部署的一些技术（例如，达美航空（Delta Air Lines）

Modern science is an increasingly distributed enterprise, particularly when addressing challenging scientific problems with multidisciplinary researchteams, where team members are routinely assembled from multiple universities,the national labs, and industry participants. A problem pervasive to suchdistributed endeavors is the need to efficiently share scientific data acrossmultiple teams, sites, applications, and machines. This project's focus is on the ability to represent such data so that it is easily shared across research teams that each use their own, well-defined and domain-specific data representations. S(cientific)-XML is a suite of tools that translate user-friendly XML-based meta-information about shared data to/from the application-specific, efficient, binary-based data structure descriptions used by high performance scientific codes. With S-XML, end users can conveniently express and view their structured data, but all data manipulation and exchanges are performed using efficient binary data representations. Complementing these tools is the XML-ECho adaptive XML-conscious peer-to-peer communication infrastructure, which implements the wide-area exchange of the large-scale binary data used in scientific collaborations.This middleware uses runtime adaptation to dynamically adjust its data transport and manipulation actions to meet application-level quality of service needs. Specifically, via XML-based descriptions of data structure, end users can dynamically express and alter interest expression that state what data is most important to them and should therefore, be transported preferentially.The resulting Adaptive-XML tools and data exchange middleware will enableeffective collaboration in scientific endeavors that remain infeasible with today's technologies, a concrete example being the Terascale Supernova Initiative now being undertaken by a large research team distributed across U.S. universities and national labs. Project outcomes will also benefit U.S. corporations, as evident from our discussions with companies like Schlumberger and also from the deployment of some of our technologies in industry testbed (e.g., at Delta Air Lines).