CSR: Small: System Support for Planetary Scale Services

CSR：小型：行星级服务的系统支持

• 批准号: 0917194
• 负责人: Amin Vahdat
• 金额: $ 48.3万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0917194&HistoricalAwards=false
• 关键词: CSR; Small; System; Support; Planetary

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Increasingly, computation and storage are moving into a planetary cloud accessible across ever-widening Internet pipes. Unfortunately, asynchrony, failures, and heterogeneity make it difficult to harness available computing power and storage, with inherent tradeoffs in performance, data consistency, and availability. The goal of this research is to raise the level of abstraction for building planetary-scale services, in particular to: i) make fault tolerant and high-performance storage a baseline abstraction for a variety of services, and ii) simplify the process of building extensible and distributed data structures that match the requirements of a range of services.Taken together, this project has the potential to effect a qualitative shift in our ability to deploy next-generation high-performance and highly available network services. First, application developers will be able to leverage fault tolerant, locality-aware data storage as a given for their distributed applications. Second, the research will deliver primitives to ease the problem of deploying new distributed data structures. We will provide the abstractions to manage distribution, replications, and faults in these environments.The broader impacts of this project will include leveraging our infrastructure to conduct studies of large-scale service architectures, first in advanced graduate courses and later in undergraduate courses, and a public release of the replication and extensible data structure software underlying our work for research and educational purposes.

该奖项是根据2009年的《美国回收与再投资法》（Publy Law 111-5）资助的。据此，计算和存储正在进入不断扩大的互联网管道上可访问的行星云。 不幸的是，异步，失败和异质性使得难以利用可用的计算能力和存储，并且性能，数据一致性和可用性固有的权衡。 这项研究的目的是提高建筑行星尺度服务的抽象水平，特别是：i）使容忍和高性能存储成为各种服务的基准抽象，以及ii）简化了构建可扩展和分布的数据结构的过程，这些过程与服务范围相匹配，以实现良好的范围，以实现良好的态度，以实现良好的效果 - 我们在实现的范围内，可以实现良好的态度，以实现我们的实现，以实现我们的实现，以实现我们的实施，以使我们能够实现良好的效果。服务。 首先，应用程序开发人员将能够利用可容忍的，局部感知的数据存储作为其分布式应用程序。 其次，该研究将提供原语，以减轻部署新的分布式数据结构的问题。 我们将提供抽象来管理这些环境中的分销，复制和故障。该项目的更广泛影响包括利用我们的基础架构来进行大规模服务体系结构的研究，首先在高级研究生课程中，然后在本科课程中进行，以及在重复和扩展数据结构的公开释放和教育工作和研究和教育方面的公开释放。