CSR: Medium: Collaborative Research: Architecting Performance Sensitive Applications for the Cloud

CSR：媒介：协作研究：为云构建性能敏感的应用程序

• 批准号: 1162333
• 负责人: Sanjay Rao
• 金额: $ 40万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-15 至 2017-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1162333&HistoricalAwards=false
• 关键词: CSR; Medium; Collaborative; Research; Architecting

Cloud computing offers IT organizations the ability to creategeo-distributed, and highly scalable applications while providingattractive cost-saving advantages. Yet, architecting, configuring, andadapting cloud applications (latency-sensitive web applications andbulk data processing applications) to meet their stringent performancerequirements is a challenge given the rich set of configurationoptions, shared multi-tenant nature of cloud platforms, and dynamicsresulting from activities such as planned maintenance.This project is developing novel methodologies, algorithms, andsystems that can enable application architects to (1) judiciouslyarchitect applications across multiple cloud data-centers whileconsidering application performance requirements, cost savingobjectives, and cloud pricing schemes guided by performance and costmodels of cloud components; (2) automatically learn effectiveapplication configurations and configuration-to-performance predictionmodels through statistical machine learning techniques; and (3) createapplications that can adapt to ongoing dynamics in cloud environmentsthrough transaction reassignment over shorter time-scales, andapplication migration over longer time-scales.The impact of this research is multi-fold: (1) Enable IT organizationsto significantly reduce costs by optimally moving their operations tothe cloud; (2) create benchmarks based on operationally deployedapplications and collecting workload traces which will be madeavailable to the research community; (3) make developed algorithms andsystems widely available as open source software; (4) inform thedesign of a nation-wide health-care cloud in Thailand; (4) introducecloud computing related topics in the undergraduate and graduatecurriculum; and (6) train multiple Ph.D., M.S., and undergraduatestudents, with explicit effort to recruit and train students fromunder-represented minority groups.

云计算为IT组织提供了创建分布和高度可扩展应用程序的能力，同时提供了促进成本的优势。然而，考虑到丰富的配置，云平台的共享性质，以及诸如计划的维护，启用了新的方法论，构造，构建，配置和装配云应用程序（对延迟敏感的Web应用程序和Bulk数据处理应用程序）以满足其严格的性能是一个挑战，这是一个挑战。 （1）跨多个云数据中心的明智结构应用程序，同时考虑应用程序性能要求，成本节省目标以及以云组件的性能和CostModels为指导的云价格方案； （2）通过统计机器学习技术自动学习有效的配置和配置对绩效预测； （3）可以适应云环境中持续的动态的创建倾向，通过较短的时间尺度和较长的时间标准迁移，对较短的时间尺度进行重新分配。这项研究的影响是多重的：（1）启用IT组织的可显着降低成本，通过移动其操作的最佳成本来降低成本； （2）基于操作部署应用程序和收集工作负载痕迹而创建基准，这些轨迹将为研究社区而言是可驱动的； （3）使开发的算法和系统广泛作为开源软件可用； （4）通知泰国全国性医疗云； （4）在本科和毕业生中引入计算与计算相关的主题； （6）培训多个博士学位，硕士和本科生，并明确努力招募和培训来自代表的少数群体的学生。