NGS: A Services-Oriented Framework for Next Generation Data Analysis Centers

摘要-CNS-0406386我们建议开发一个软件框架，为建立在异构集群之上的下一代数据分析中心开发中间件服务：和ii）在这样的中心的上下文中部署，随时知识发现和数据挖掘算法，对动态数据进行交互式操作。 所提出的框架的关键要素是：a）存储服务：用于在分布式环境中管理、预处理和访问动态数据的有效机制; B）缓存服务：用于支持数据和知识重用的有效机制; c）调度服务：用于准入控制和资源感知的任务间和任务内调度的有效机制;以及d）应用适应性：并行自适应增量数据挖掘算法的关键数据挖掘任务，有效地互动与建议的服务。

Abstract-CNS-0406386We propose to develop a software framework to develop middleware service for next generation data analysis centers built on top of heterogeneous clusters: and ii) to deploy within the context of such centers, anytime knowledge discovery and data mining algorithms that operate interactively on dynamic data. The key elements of the proposed framework are: a) Storage Services: efficient mechanisms for managing, preprocessing, and accessing dynamic data in a distributed environment; b) Caching Services: efficient mechanism for supporting data and knowledge re-use; c)Scheduling Services: efficient mechanism for admission control, and resource-aware inter-task and intra-task scheduling; and d) Application Adaptability: parallel adaptive incremental data mining algorithms for key data mining tasks that interact effectively with the proposed services.