Collaborative Proposal: Frameworks: Project Tapis: Next Generation Software for Distributed Research

合作提案：框架：Tapis 项目：分布式研究的下一代软件

基本信息

批准号：
1931439
负责人：
Joseph Stubbs
金额：
$ 298.58万
依托单位：
University of Texas at Austin
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-01 至 2024-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1931439&HistoricalAwards=false
关键词：
Collaborative Proposal Frameworks Project Tapis

项目摘要

The goal of a robust cyberinfrastructure (CI) ecosystem is to become a catalyst for discovery and innovation by fostering the development of software frameworks as sustainable production-quality services. Modern science and engineering research increasingly span multiple, geographically distributed data centers and leverage instruments, experimental facilities and a network of national and regional CI. The Tapis framework will enable scientists to accomplish computational and data intensive research in a secure, scalable, and reproducible way allowing scientists to focus on their research instead of the technology needed to accomplish it. Tapis will allow easier implementation, sharing and re-use of complex computational applications, workflows, and infrastructure and enable analysis previously too challenging for researchers. The framework will maximize application portability, allowing flexible scheduling of geographically distributed computational workloads, offer a web-based science-as-a-service to enable multi-facility, decentralized deployments, and provide production-grade support for sensors and streaming data. Tapis will impact multiple science domains, geographic and underrepresented communities with the potential to tackle the world's most important scientific problems spanning astronomy, climate science, medicine, natural hazards, and sustainability science. Education and outreach will include sponsored workshops, hackathons and training materials covering the platform and providing examples to encourage widespread adoption for users across a variety of technical skills and targeting the next generation of young researchers and professionals through immersive workshops and professional development opportunities.Tapis, will be a new platform for distributed computational experiments that leverages NSF's investments in the Agave, Abaco and CHORDS projects. The Tapis software framework will 1) provide production-grade support for sensors and streaming data, 2) maximize application portability, allowing flexible scheduling of computational workloads across geographically distributed providers, and 3) provide science-as-a-service HTTP-based RESTful APIs to enable multi-facility, decentralized deployments that are both secure and scalable. Working alongside a diverse set of domain researchers to drive real-world use cases, Tapis will be the underlying cyberinfrastructure for computational workflows and science gateways. Tapis will leverage containers to maximize application portability, allowing flexible scheduling of computational workloads across geographically distributed providers. The project will achieve this flexibility by introducing execution system capabilities and application requirements throughout the framework. The Jobs service will be run in a distributed manner to take advantage of data locality and, optionally, to schedule jobs on underutilized systems. Tapis will deploy in centralized or distributed configurations using a microservices architecture that includes a novel, decentralized security and authorization kernel. This kernel can be deployed on-premises to retain local control over confidential data. Custom microservices can be plugged into the security kernel to provide new capabilities, resulting in a cyberinfrastructure ecosystem for distributed computing. To effectively execute Tapis, teams from the Texas Advanced Computing Center (TACC), the University of Texas at Austin (UT), and the University of Hawaii (UH) will leverage a long-standing collaboration to support investigator-driven, geographically distributed, data-intensive research.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.

强大的网络基础设施（CI）生态系统的目标是通过促进软件框架作为可持续生产质量服务的开发来成为发现和创新的催化剂。现代科学和工程研究越来越多地跨越多个，地理分布的数据中心，并利用工具，实验设施以及国家和区域CI的网络。 Tapis框架将使科学家能够以安全，可扩展和可重现的方式完成计算和数据密集型研究，从而使科学家能够专注于他们的研究，而不是完成它所需的技术。磁带将使复杂的计算应用程序，工作流程和基础架构更容易地实施，共享和重复使用，并使以前对研究人员的分析变得过于挑战。该框架将最大化应用程序可移植性，从而允许灵活地安排地理分布式计算工作负载，提供基于Web的科学 - AS-A-Service，以启用多门外，分散的部署，并为传感器和流数据提供生产级支持。 Tapis将影响多个科学领域，地理和代表性不足的社区，并有可能解决跨越天文学，气候科学，医学，自然危害和可持续性科学的世界上最重要的科学问题。教育和外展活动将包括赞助的研讨会，黑客马拉松和培训材料涵盖平台，并提供示例，以鼓励对用户广泛采用各种技术技能的用户，并针对下一代年轻的研究人员和专业人士通过沉浸式的研讨会和专业开发机会。TAPIS。TAPIS将是一个新的计算实验的平台，以实现分布式计算实验，这些平台将负责nsf and abac and abac and abac and abac and abac and abac and abac and abac and Agave and Agave and Agave and Agave and Agave and Agave and Agave and Agave and Agave。 TAPIS软件框架将1）为传感器和流数据提供生产级支持，2）最大化应用程序可移植性，从而可以灵活地安排跨地理分布式提供商的计算工作负载，3）3）提供基于科学的http http rentfuls rentfuls，以启用多基础，分散的安全性和secure secuce and Secuce and Secuce and Secuce and Secuce and seculy and seculys and Secuctrys and Secuctibal。与一组不同的领域研究人员一起工作，以推动现实世界中的用例，Tapis将成为计算工作流程和科学网关的基础网络基础结构。 Tapis将利用容器来最大化应用程序可移植性，从而允许在地理分布式提供商中灵活地安排计算工作负载。该项目将通过在整个框架中引入执行系统功能和应用程序要求来实现此灵活性。作业服务将以分布式的方式运行，以利用数据局部性，并选择安排未充分利用的系统上的作业。 Tapis将使用包括新颖的，分散的安全性和授权内核的微服务体系结构中的集中式或分布式配置部署。该内核可以在本地部署，以保留对机密数据的本地控制。可以将自定义微服务插入安全核中以提供新功能，从而导致网络基础结构生态系统用于分布式计算。为了有效执行磁带，得克萨斯州高级计算中心（TACC），德克萨斯大学奥斯汀大学（UT）和夏威夷大学（UH）的团队将利用长期的合作来支持由研究人员驱动的，地理上分布的，地理分布的，数据密集型的研究。标准。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Scalable Scientific Interactive Research Computing With Project Scinco

通过 Project Scinco 进行可扩展的科学交互研究计算

DOI：
10.1109/mcse.2023.3267679
发表时间：
2023
期刊：
Computing in Science & Engineering
影响因子：
2.1
作者：
Stubbs, Joe;Jamthe, Anagha;Freeman, Nathan;Packard, Mike;Curbelo, Gilbert;Hammock, Cody
通讯作者：
Hammock, Cody

Designing and Proving Properties of the Abaco Autoscaler Using TLA+

使用 TLA 设计和验证 Abaco Autoscaler 的属性