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.

云计算使 IT 组织能够创建地理分布式且高度可扩展的应用程序，同时提供极具吸引力的成本节约优势。然而，考虑到丰富的配置选项、云平台的共享多租户性质以及由诸如该项目正在开发新颖的方法、算法和系统，使应用程序架构师能够 (1) 明智地跨多个云数据中心构建应用程序，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成本模型为指导的云定价方案； （2）通过统计机器学习技术自动学习有效的应用配置和配置到性能的预测模型； (3) 通过较短时间范围内的事务重新分配和较长时间范围内的应用程序迁移，创建能够适应云环境中持续动态的应用程序。这项研究的影响是多方面的：(1) 使 IT 组织能够通过以下方式显着降低成本：以最佳方式将其运营转移到云端； (2) 根据可操作部署的应用程序创建基准并收集工作负载跟踪，这些跟踪将提供给研究界； (3) 将开发的算法和系统作为开源软件广泛使用； (4) 告知泰国全国医疗保健云的设计； （4）在本科生和研究生课程中引入云计算相关主题； (6) 培养多名博士生、硕士生和本科生，并明确努力招收和培养来自代表性不足的少数群体的学生。