POWRE: Applying Database Techniques to Management of Large Data Flows in Scientific Applications

ei - 9973834plale， BethGeorgia Institute of Technology cise / power：将数据库技术应用于科学应用中的大数据流管理该项目支持PI在Georgia Institute of Technology的博士后研究活动。为了解决大数据流和组件之间不兼容的问题，PI提出了一种称为活动流的通用中间件方案：一种通过将计算组件直接注入数据流来控制数据流的方法。计算组件以活动数据库的样式实现一个或多个事件操作规则，其中一组事件触发规则操作。总而言之，该项目的目标是中间件组件的体系结构、抽象和算法，这些中间件组件在内部查询评估中是有效的，并且能够响应环境中的变化。

EIA-9973834Plale, BethGeorgia Institute of TechnologyCISE/POWRE: Applying Database Techniques to Management of Large Data Flows in Scientific ApplicationsThis project supports the PI's research activities as a Postdoc at Georgia Institute of Technology. To address the problem of large data flows and incompatibility between components, the PI is proposing a general middleware scheme called active streams: an approach for controlling data flow by injecting computational components directly into a data flow. A computational component implements one or more event-action rules, in the style of active databases, where a set of events triggers a rule action. To summarize the goal of the project is an architecture , abstractions, and algorithms for middleware components that are efficient in the internal query evaluation, and responsive to changes in the environment.