Collaborative Research: Planning Grant: I/UCRC for Assured and SCAlable Data Engineering (CASCADE)

数据和信息革命正在改变我们生活的方方面面、所有学科和经济的所有部门。到2017年，大数据市场预计将达到500亿美元，其中服务和软件的市场份额分别为40%和22%。虽然产品和服务不断成熟，但可靠和可扩展的数据服务仍然是主要挑战。这就需要数据架构和工具能够匹配数据的规模，并支持及时、可靠的决策。拟议的NSF I/UCRC保证和可伸缩数据工程中心(CASCADE)的愿景是实现从目前的特别方法到数据系统工程的根本转变，转向支持可靠和及时的数据驱动决策的数据系统工程的原则性框架。该中心将支持与数据规模相匹配的数据架构和工具的创新，并支持及时和可靠的决策。信息整合、分析和可视化的方法将帮助非数据专家(在政府和商业部门)作出决策并创造价值。拟议的NSF I/UCRC保证和可扩展数据工程中心(CASCADE)的主要受众包括(A)严重依赖数据服务的中小型和大型公司(特别是在金融和能源部门)，(B)数据技术领域的中小型和大型公司，以及(C)政府机构和监管机构。CASCADE将在开发可靠和可扩展的数据技术方面发挥重要作用，这些技术反过来将使具有重大经济和环境影响的应用程序和服务成为可能。这包括预防金融欺诈、监测金融供应链以及能源和可持续发展部门的应用。拟议项目的更广泛影响将包括向工业部门转让技术和知识，通过指导博士生进行研究生和本科教育，以及通过将研究纳入现有本科生和研究生班级，更新CSE课程。CASCADE活动将在支持可扩展和安全的数据工程的方法方面培训计算机科学专业的学生，并将使他们熟悉包括金融部门和清洁能源在内的关键领域的现实世界挑战。CASCADE还将通过招聘女性和少数族裔学生来促进劳动力的多样性。如果我们想要从根本上改变数据系统的设计方式并显著改变当前的实践，我们需要确保协同开发数据分析、数据保证和数据管理技术组件，以实现以下目标：(1)每个组件的设计和开发受到其他组件的需求和限制的影响；(2)每个组件都充分利用其他组件提供的服务和功能；(3)它们随着分析、保证和管理环境随着它们都支持的已部署应用程序系统的需求而不断变化。一个关键的级联目标是通过可靠和可扩展的数据系统增强领域专家和决策者的能力，并通过感觉和集成、模拟和预测、验证和解释以及行动和适应反馈循环提供可靠和及时的决策。这项计划拨款的目标是组织一次与行业合作伙伴和大学的会议，概述CASCADE的研究议程。CASCADE的产业界/学术界的合作伙伴关系将使新的算法、工具和系统能够安全地管理、共享、访问和分析不同的静态或瞬时数据集，以满足不同的安全要求，包括信任、可用性、机密性和完整性。通过协同的行业/学术伙伴关系，CASCADE将形成一个包括多学科团队的战略框架，这些团队将从基础研究中获得的技术见解转化为新的关键技术元素，这些技术元素的不同实例被部署用于直接影响包括能源和金融部门在内的各种关键行业。

A data and information revolution is transforming all aspects of our life, all disciplines, and all sectors of the economy. The "big data" market is predicted to reach $50 billion by 2017, with 40% and 22% market share for services and software, respectively. While products and services continue to mature, assured and scalable data services remain major challenges. This necessitates data architectures and tools that can match the scale of the data and support timely and assured decision making. The vision of the proposed NSF I/UCRC Center for Assured and SCAlable Data Engineering (CASCADE) is to enable a fundamental shift from current ad hoc approaches to the engineering of data systems, towards a principled framework for the engineering of data systems that support reliable and timely data-driven decision making. The center will support the innovation of data architectures and tools that can match the scale of the data, and that support timely and assured decision making. Methods for information integration, analytics and visualization will help non-data-experts (in governmental and commercial sectors) to make decisions and to generate value. The key audience for the proposed NSF I/UCRC Center for Assured and SCAlable Data Engineering (CASCADE) include (a) small, medium, and large companies that rely heavily on data services (especially in the finance and energy sectors), (b) small, medium, and large companies in data technologies, and (c) government agencies and regulators. CASCADE will play an important role in developing assured and scalable data technologies that in turn will enable applications and services with significant economic and environmental impact. This includes financial fraud prevention, monitoring financial supply chains and applications in the energy and sustainability sectors. The broader impacts of the proposed project will include technology and knowledge transfer to the industrial sector, graduate and undergraduate education through mentoring of PhD students, and updates to the CSE curriculum through the incorporation of research into existing undergraduate and graduate classes. CASCADE activities will train computer science students in the methodologies that support scalable and secure data engineering and will familiarize them with real world challenges in critical domains including the financial sector and clean energy. CASCADE will also contribute to diversity on the workforce through recruitment of female and minority students. If we want to fundamentally alter the way data systems are designed and significantly change current practices, we need to ensure that data analysis, data assurance, and data management technology components are developed synergistically to achieve the following targets: (1) The design and development of each component is informed by the requirements and limitations of the others; (2) Each takes full advantage of the services and capabilities provided by the others; (3) They continuously adapt as the analysis, assurance, and management contexts evolve with the needs of the deployed application systems that they all support. A key CASCADE goal is to empower domain experts and decision makers through assured and scalable data systems, and to provide reliable and timely decision making through a sense&integrate, simulate&predict, validate&interpret, and act&adapt feedback loop. This planning grant's objective is to organize a meeting with industry partners and the universities to outline a research agenda for CASCADE. The industrial/academic partnerships of CASCADE will enable new algorithms, tools, and systems that securely manage, share, access, and analyze heterogeneous sets of static or transient data to accommodate diverse security requirements, including trust, availability, confidentiality, and integrity. Through synergistic industry/academy partnerships, CASCADE will enable a strategic framework that includes multi-disciplinary teams that translate technological insights obtained from fundamental research on (a) trusted and privacy preserving data processing and analysis, (b) real-time data processing and analysis, (c) parallel and distributed data processing and analysis, and (d) high dimensional and multi-modal data processing and analysis, into new key technology elements whose different instantiations are deployed for direct impact to various critical industries including in the energy and finance sectors.