SHF: Small: Resource Management and QoS in Heterogeneous Servers

SHF：小型：异构服务器中的资源管理和 QoS

• 批准号: 1421434
• 负责人: Peter Varman
• 金额: $ 40.04万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-15 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1421434&HistoricalAwards=false
• 关键词: SHF; Small; Resource; Management; QoS

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.

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。目前的重点是利用集成的计算、存储和网络资源实现整个应用程序的虚拟化。这需要用于动态切片和聚合底层物理基础设施的自动化技术，以创建具有不同资源类型灵活组合的虚拟资源集合。该项目涉及开发策略、算法和调度机制，以优化多个异类资源的联合分配。将定义适用于这些系统的公平共享多种资源的模型，并将开发和评估最大化合并比率的新的资源分配算法。这一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服务质量保证和隔离来推动快速增长的云IT基础设施的发展。该项目还将对信息技术这一重要的专题部门的学生进行教育和培训。