CSR: Small: System Support for Planetary Scale Services

该奖项是根据2009年《美国复苏和再投资法案》(Public Law 111-5)提供资金的。计算和存储正越来越多地转移到可通过不断扩大的互联网管道访问的行星云中。不幸的是，异步性、故障和异构性使利用可用的计算能力和存储变得困难，而且在性能、数据一致性和可用性方面进行了固有的权衡。这项研究的目标是提高构建全球规模服务的抽象级别，特别是：i)将容错和高性能存储作为各种服务的基线抽象，ii)简化构建可扩展和分布式数据结构的过程，以满足一系列服务的要求。总而言之，该项目可能会对我们部署下一代高性能和高可用性网络服务的能力产生质的转变。首先，应用程序开发人员将能够利用容错的、位置感知的数据存储作为其分布式应用程序的既定条件。其次，研究将提供原语，以缓解部署新的分布式数据结构的问题。我们将提供管理这些环境中的分发、复制和故障的抽象概念。该项目的更广泛影响将包括利用我们的基础设施进行大规模服务体系结构的研究，首先是在高级研究生课程中，然后是在本科课程中，以及公开发布作为我们工作基础的复制和可扩展数据结构软件，用于研究和教育目的。

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.