MRI: Development of Apt, A Testbed Instrument with Adaptable Profiles for Network and Computational Science

提案编号：1338155 PI：Ricci，Robert; Corbato，Steven C;艾德，Eric N; Facelli，Julio C;货车Der Merwe，Jacobus机构： 犹他州大学MRI/Dev：Apt，a Testbed Instrument with Adaptable Profiles for Network and Computational ScienceProject Proposed：本项目旨在开发一种新型的自适应仪器（Apt），旨在实现一种新型的控制框架来管理计算节点，存储服务器和灵活的互连结构的集群。适应性构成的关键特征，使计算机科学研究的各种工具的创建。这项工作旨在代表新一代的测试平台仪器，通过授权他们根据自己的需求进行定制来吸引更广泛的用户社区。该仪器预计将利用和推动云计算的趋势，从而使适应性强的仪器环境的开发更容易，更便宜，风险更低。与此同时，它还提供了商业云上无法提供的属性，包括科学仪器所需的资源保真度和透明度的建议水平。该项目还开发了控制和管理系统，用于创建和使用配置文件，并支持并行实验和动态分配资源。确定的Apt的基本构建块包括：-资源配置，调度和调节; -操作状态跟踪;实验管理，存档和重放;以及-用户管理。这项工作有助于使这些元素可重用的方式，使拟议的配置文件支持广泛的研究领域共享。目前针对的领域包括，但不限于，可持续能源控制系统，生物分子科学，隐私和安全，以及数据密集型computation.Broader影响：该仪器预计将成为计算机科学和其他计算为基础的领域，互联网访问，并有助于国家的国家资源？的网络基础设施。广泛而多样的有针对性的研究群体包括强有力的经验和实验组成部分。所提出的仪器非常适合于培训和教育。

Proposal #: 1338155PI(s): Ricci, Robert; Corbato, Steven C; Eide, Eric N; Facelli, Julio C; Van Der Merwe, JacobusInstitution: University of Utah Title: MRI/Dev: Apt, a Testbed Instrument with Adaptable Profiles for Network and Computational ScienceProject Proposed:This project, developing a novel adaptable instrument (Apt), aims at attaining a novel control framework to manage a cluster of compute nodes, storage servers, and a flexible interconnect fabric. Adaptability constitutes the key feature enabling the creation of diverse instruments for computer science research. The work is geared towards representing a new generation of testbed instruments that engage a broader community of users by empowering them to customize it to their needs. The instrument is expected to leverage and drive the trends in cloud computing, thus making the development of adaptable instrument environments easier, cheaper, and less risky. At the same time, it offers properties not available on commercial clouds, including the proposed levels of resource fidelity and transparency required of a scientific instrument. The project also develops the control and management system for creating and using profiles, and for supporting concurrent experiments and allocating resources among them in a dynamic manner. The fundamental building blocks of Apt identified include: - Resource provisioning, scheduling, and conditioning; - Operational state tracking; experiment management, archive, and replay; and - User management. This work contributes to make these elements reusable in a way that enables the proposed to be shared by profiles supporting a wide range of research domains. The domains currently targeted include, but are not limited to, sustainable energy control systems, biomolecular science, privacy and security, and data-intensive computation.Broader Impacts: The instrument is expected to be a national resource for computer science and other computing-based fields, Internet-accessible and to contribute to the nation?s cyberinfrastructure. The broad and diverse targeted research communities include strong empirical and experimental components. The proposed instrument is highly suitable for training and education.