SHF: Small: Resource Management and QoS in Heterogeneous Servers

共享数据中心计算的爆炸性增长增加了对公平资源分配策略和机制的需求，这些策略和机制为共享物理基础设施的租户提供服务质量（QoS）保证。目前的重点是使用集成的计算、存储和网络资源虚拟化整个应用程序。这需要自动化技术来动态切片和聚合底层物理基础设施，以创建具有不同资源类型灵活混合的虚拟资源集合。该项目涉及策略、算法和调度机制的开发，以优化多个异构资源的联合分配。将定义适合这些系统的多种资源公平共享模型，并开发和评估最大化合并比率的新资源分配算法。其结果将通过提高服务提供商的资源效率，并为租户提供更好的QoS保证和隔离，推动快速增长的云IT基础设施的发展。该项目还将导致在信息技术的一个专题和重要部门对学生进行教育和培训。

Explosive growth in shared-data-center computing has increased the need for fair resource-allocation policies and mechanisms that provide quality-of-service (QoS) guarantees for tenants sharing a physical infrastructure. The focus today is on virtualizing entire applications with integrated compute, storage, and networking resources. This requires automated techniques for dynamically slicing and aggregating the underlying physical infrastructure, to create ensembles of virtual resources with flexible mixes of different resource types. The project involves the development of policies, algorithms, and scheduling mechanisms to optimize the joint allocation of multiple heterogeneous resources. Models for fair sharing of multiple resources suitable for these systems will be defined, and new resource allocation algorithms that maximize consolidation ratios will be developed and evaluated. The results will advance the development of the fast-growing cloud IT infrastructure by increasing resource efficiency for the service providers, and providing better QoS guarantees and isolation for the tenants. The project will also result in the education and training of students in a topical and important sector of Information Technology.