CSR:Medium: Systems and Software Research for Compute-Intensive Cloud Computing

CSR：中：计算密集型云计算的系统和软件研究

• 批准号: 0905237
• 负责人: Chandra Krintz
• 金额: $ 100万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0905237&HistoricalAwards=false
• 关键词: CSR; Medium; Systems; Software; Research

A recent trend in the commercial, high-technology sector has been to make large-scale, proprietary computing and storage infrastructure available to the public. Companies such as Amazon, Google, and many others, enable access to these vast resource collections via the Internet, and provide a wide range of services for accessing them (tools, APIs, resource scheduling and accounting, etc.). Users are encouraged to think of the infrastructure as a an opaque computing ``cloud'' that delivers compute and storage capabilities in the same way that the network ``cloud'' delivers network connectivity: through a client-provider relationship governed by well-defined interfaces.Unfortunately, at present, cloud computing technologies provide support for only a limited set of applications from the web service domain. As a result, remotely managed web hosting is, by far, the most prevalent usage model for cloud systems.With this research, the PIs propose to design, implement, and evaluate the extensions to the services offered by the two most prevalent cloud purveyors (Amazon.com and Google) to facilitate usage by a more broad developer base (e.g., scientists and students) who require support for general compute-intensive applications. The basis of this work will be two novel research projects that are able to implement commercial cloud computing functionality in academic settings: AppScale and Eucalyptus.The PIs will employ these infrastructures to investigate and contribute the three fundamental technologies that are missing from extant cloud technologies but that are necessary to enable support of high-performance, compute intensive applications within cloud-basedclusters: efficient support of shared-memory inter-process communication, high-performance file system support, and system-wide, adaptive performance monitoring and analysis.

商业和高科技领域最近的一个趋势是向公众提供大规模的专有计算和存储基础设施。亚马逊、谷歌和许多其他公司通过互联网实现了对这些海量资源集合的访问，并为访问它们提供了广泛的服务(工具、API、资源调度和记账等)。鼓励用户将基础设施视为一个不透明的计算“云”，其提供计算和存储功能的方式与网络“云”提供网络连接的方式相同：通过由定义明确的接口管理的客户-提供商关系。遗憾的是，目前云计算技术仅支持来自Web服务域的有限一组应用程序。在这项研究中，PI建议设计、实施和评估两家最流行的云供应商(Amazon.com和Google)提供的服务扩展，以促进更广泛的开发人员(如科学家和学生)的使用，这些开发人员需要支持一般的计算密集型应用程序。这项工作的基础将是两个能够在学术环境中实现商业云计算功能的新型研究项目：AppScale和Eucalyptus。PI将利用这些基础设施来调查和贡献现有云技术中缺失的三项基本技术，这些技术对于支持基于云的集群中的高性能、计算密集型应用程序是必要的：高效支持共享内存进程间通信、高性能文件系统支持以及系统范围的自适应性能监控和分析。