SHF: SMALL: Collaborative Research: Cloud Mentoring: Guiding Cloud Users for Cost Performance through Testing and Recommendation

SHF：小型：协作研究：云指导：通过测试和推荐指导云用户提高成本绩效

• 批准号: 1618310
• 负责人: Lori Pollock
• 金额: $ 20.64万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1618310&HistoricalAwards=false
• 关键词: SHF; SMALL; Collaborative; Research; Cloud

Cloud computing is growing rapidly, with businesses, institutions and individuals moving their workloads to clouds. Cloud users benefit from low cost ownership, a pay-as-you-go pricing model where they only pay for the procured resource usage, and the ability to dynamically scale the resource usage up and down. However, the applications running in clouds usually experience unpredictable performance, which makes it extremely challenging for the users to choose resource configurations that meet their cost and performance requirements. This problem is further complicated as users do not have physical control over cloud computers and are forced to make their decisions based on convoluted cloud performance reports.This research addresses the need to support users in achieving their cost-performance requirements as they port their applications to various cloud services. In particular, the research is embodied in an envisioned testing and recommendation system that determines proper resource management policies that meet performance and cost requirements. By taking a software-testing-based approach, the research provides solutions using only user-accessible information to satisfy user requirements, addresses the limits of static analysis techniques that rely on performance predictability.Such a testing and recommendation system enables non-experts to port their applications to various clouds in a cost effective way. The novel framework, testing and recommendation approaches, data sets, and experimental infrastructure developed within the project will be released open source to advance knowledge and understanding within software engineering and cloud computing. The PIs will continue to involve students of underrepresented groups and continue their involvement in mentoring workshops for students.

云计算正在迅速发展，企业、机构和个人将其工作负载转移到云端。云用户受益于低成本的所有权、即用即付的定价模式（只需为采购的资源使用量付费）以及动态扩展和缩减资源使用量的能力。然而，在云中运行的应用程序通常会遇到不可预测的性能，这使得用户很难选择满足其成本和性能要求的资源配置。这个问题变得更加复杂，因为用户无法对云计算机进行物理控制，并且被迫根据复杂的云性能报告做出决策。这项研究解决了支持用户在将应用程序移植到云计算机时实现其成本性能要求的需要。各种云服务。特别是，该研究体现在一个设想的测试和推荐系统中，该系统确定满足性能和成本要求的适当资源管理策略。通过采用基于软件测试的方法，该研究提供仅使用用户可访问的信息来满足用户需求的解决方案，解决了依赖于性能可预测性的静态分析技术的局限性。这样的测试和推荐系统使非专家能够移植他们以经济高效的方式将其应用到各种云中。该项目中开发的新颖框架、测试和推荐方法、数据集和实验基础设施将开源发布，以增进软件工程和云计算领域的知识和理解。 PI 将继续让代表性不足群体的学生参与，并继续参与为学生举办的指导研讨会。

项目成果

Flexible VM Provisioning for Time-Sensitive Applications with Multiple Execution Options

具有多个执行选项的时间敏感型应用程序的灵活虚拟机配置

• 发表时间: 2018-07
• 期刊: IEEE International Conference on Cloud Computing
• 作者: Begam, Rehana;Moradi, Hamidreza;Wang, Wei;Zhu, Dakai
• 通讯作者: Zhu, Dakai

CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads

CloudInsight：利用专家委员会来预测未来的云应用程序工作负载

• DOI: 10.1109/cloud.2018.00013
• 发表时间: 2018-07-01
• 期刊: 2018 IEEE 11th International Conference on Cloud Computing (CLOUD)
• 作者: I. Kim;Wei Wang;Yanjun Qi;M. Humphrey
• 通讯作者: M. Humphrey

A Statistics-Based Performance Testing Methodology for Cloud Applications

基于统计的云应用性能测试方法

• 发表时间: 2019-07
• 期刊: Foundations of Software Engineering (FSE
• 作者: He, Sen;Manns, Glenna;Saunders, John;Wang, Wei;Pollock, Lori;Soffa, Mary Lou
• 通讯作者: Soffa, Mary Lou

Testing Cloud Applications under Cloud-Uncertainty Performance Effects

在云不确定性性能影响下测试云应用程序

• DOI: 10.1109/icst.2018.00018
• 发表时间: 2018-04-09
• 期刊: 2018 IEEE 11th International Conference on Software Testing, Verification and Validation (ICST)
• 作者: Wei Wang;Ningjing Tian;Sunzhou Huang;Sen He;Abhijeet Srivastava;M. Soffa;L. Pollock
• 通讯作者: L. Pollock

iReplayer: In-situ and Identical Record-and-Replay for Multithreaded Applications

iReplayer：多线程应用程序的原位和相同的记录和重放

• 发表时间: 2018-07
• 期刊: ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI
• 作者: Liu, Hongyu;Silvestro, Sam;Wang, Wei;Tian, Chen;Liu, Tongping
• 通讯作者: Liu, Tongping