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

提案#：1338155 PI(S)：Ricci，Robert；Corbato，Steven C；Eide，Eric N；Facelli，Julio C；Van Der Merwe，Jacobus研究所：犹他州大学标题：磁共振成像/开发：APT，一种具有可适应配置文件的网络和计算科学测试仪器建议：该项目开发一种新型的自适应仪器(APT)，旨在获得一种新的控制框架来管理计算节点集群、存储服务器和灵活的互连结构。适应性是能够为计算机科学研究创造不同工具的关键特征。这项工作旨在展示新一代试验台仪器，通过授权用户根据自己的需求进行定制，从而吸引更广泛的用户社区。预计该仪器将利用并推动云计算的趋势，从而使适应性仪器环境的开发更容易、更便宜、风险更低。与此同时，它提供了商业云所没有的特性，包括科学仪器所需的资源保真度和透明度的拟议水平。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，以及支持并行实验和以动态方式在它们之间分配资源。确定的APT的基本构建块包括：-资源供应、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能够重复使用，使拟议的内容能够被支持广泛研究领域的配置文件共享。目前的目标领域包括但不限于可持续能源控制系统、生物分子科学、隐私与安全和数据密集型计算。广泛影响：该仪器有望成为国家计算机科学和其他基于计算的领域的资源，可以上网，并为国家做出贡献-S网络基础设施。广泛和多样化的目标研究社区包括强大的实证和实验部分。建议的工具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.