CRII: CSR: Mobile-Aware Resource Management in Geo-Distributed Multi-Clouds

现代移动的应用越来越依赖云数据中心来获得计算和存储能力。为了保证客户的良好性能，云平台通常动态地提供资源，以满足波动的工作负载的需求。云提供商还动态地为其服务定价，以满足可变的需求。移动的工作负载表现出三个不同的特征：地理或空间波动、以较短的波动时间尺度为特征的快速变化以及更频繁的波动，这使得当前的资源供应方法不太有效。MOBILESCALE项目提出了对移动的工作负载的资源管理的新研究，以解决处理波动和优化成本和性能的双重目标，通过利用特定于应用程序的优化方法，承认云临时服务器的成本异常，并统一来自多个云提供商的资源。该项目将设计和实现一个移动感知资源管理系统、一套移动的应用程序基准测试，并使用本项目开发的自主移动的应用程序对拟议的移动感知配置算法进行实验评估。该项目将为研究如何通过定制的特定应用程序优化使现代云平台更加智能打开大门。MOBILESCALE项目可以与当前的通用资源管理系统结合使用，以减少操作员的人工干预，并掩盖操作的复杂性。该项目更广泛的影响将包括研究生和本科生课程，其中包括研究成果，推广接触本科生，高中和K-12学生在计算机系统的研究，该奖项反映了NSF的法定使命，并通过使用基金会的智力价值进行评估，更广泛的影响审查标准。

Modern mobile applications are increasingly relying on cloud data centers to obtain both compute and storage capabilities. To guarantee good performance for customers, cloud platforms usually provision resources dynamically in order to meet the demand of the fluctuating workload. Cloud providers also price their services dynamically to meet variable demand. Mobile workloads exhibit three distinct characteristics: geographic or spatial fluctuation, rapid changes characterized by a shorter time scale of fluctuation, and more frequent fluctuations, which make current resource provisioning approaches less effective. The MOBILESCALE project proposes new research on resource management for mobile workload to address dual objectives of handling fluctuations and optimizing cost and performance by leveraging application-specific optimization approaches, acknowledging the cost anomalies of cloud transient servers, and unifying resources from multiple cloud providers. The proposed work will involve the design and implementation of a mobile-aware resource management system, a set of mobile application benchmarks, and experimental evaluation of the proposed mobile-aware provisioning algorithms using home-grown mobile apps developed in this project.The project will open doors for research on making modern cloud platforms more intelligent with tailored application-specific optimizations. The MOBILESCALE project can be used and integrated with current general-purpose resource management systems to reduce manual intervention from operators and to mask operational complexity. The broader impacts of the project will include graduate and undergraduate courses that incorporate research results, outreach to expose undergraduates, high school and K-12 students to research in computer systems, and the release of MOBILESCALE source code to the research community through the project website.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.