Massively Parallel, Adaptive and Fault-Tolerant Execution of Data Flow Programs on Dynamic Clouds

动态云上数据流程序的大规模并行、自适应和容错执行

• 批准号: 174446757
• 负责人: Professor Dr. Odej Kao
• 金额: --
• 依托单位: Fachgebiet Komplexe und Verteilte IT-Systeme (CIT)
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2010
• 资助国家: 德国
• 起止时间: 2009-12-31 至 2013-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/174446757?language=en
• 关键词: Massively; Parallel; Adaptive; Fault; Tolerant

The goal of Project B within the Stratosphere Research Unit is to research and to implement a massivelyparallel, adaptive and fault-tolerant execution framework for re-configurable Cloud environments. Forming the bottom layer of the entire research group, the project will address the challenge of how to bring together the demands of modern information management applications with the scalability and computational power offered by today’s Cloud systems. In particular, the project will conduct research on topology awareness for data locality in virtualized environments, the efficient and adaptive execution of data flow programs in such environments as well as methods to ensure fault tolerance in presence of permanent or transient node failures. All research results will be integrated with preliminary work of the research group, evaluated experimentally and will facilitate higher level research efforts of the Stratosphere project.

Stratosphere Research Unit内的项目B的目标是研究和实现可重配置云环境的并行、自适应和容错执行框架。作为整个研究小组的底层，该项目将解决如何将现代信息管理应用的需求与当今云系统提供的可扩展性和计算能力结合起来的挑战。特别是，该项目将对虚拟化环境中数据局部性的拓扑感知进行研究，在这种环境中有效和自适应地执行数据流程序，以及在存在永久或暂时节点故障时确保容错的方法。所有研究成果将与研究小组的前期工作相结合，进行实验评估，并将促进平流层项目的更高水平的研究工作。