I/UCRC: Phase II: Industry/University Cooperative Research Center for Cloud and Autonomic Computing (CAC)

IT和云基础设施的爆炸式增长，加上其组件的多样性和熟练IT工作人员的短缺，导致系统的控制和及时管理超出了人类的能力。 NSF工业/大学云和自主计算合作研究中心（CAC）的使命是推进如何设计和工程计算系统和应用程序的知识，这些系统和应用程序能够自我管理，使其资源和操作适应当前的工作负载，并预测用户的需求。CAC拥有三所大学（亚利桑那大学、密西西比州立大学和德克萨斯理工大学），将领导针对云计算系统的创新设计和编程范例的研究，这些系统可以自我配置、自我修复、自我优化和自我保护，而IT管理员或用户的参与最少。我们计划通过底特律慈善大学（UDM）参与汽车行业，该大学是UA的附属成员。 CAC不仅推进了自主计算的科学，而且通过与工业合作伙伴密切合作，在CAC追求的项目的定义中加速了其向工业的转移，并有助于教育能够设计和部署云和自主计算系统的劳动力。CAC将通过在每个站点的几个宣传和招聘活动，让来自代表性不足群体的学生和教师参与进来。当今的IT和云基础设施面临着重大的管理挑战，这些挑战来自于其分布式特性、需要适应意外需求、异构性、规模、大量用户以及IT和云服务的高度复杂性和多样性等因素。 CAC的使命是让学术界、工业界和政府合作伙伴共同努力，加速我们对云计算和自主计算基础知识的理解，并将这些基础知识转化为行业解决方案，培养能够设计一般自主系统和云系统的员工队伍。CAC将研究如何使系统能够在性能、故障、安全性、弹性、功耗等方面进行自我管理。与过去孤立地解决这些属性的尝试不同，CAC将奋进寻求解决多个属性的集成方法。该中心的技术范围？的活动包括云和自主系统的设计和评估方法、算法、架构、软件、数学基础和基准测试。研究了集中式和分布式系统的不同层次的解决方案，包括硬件、网络、存储、中间件、服务和信息层。CAC解决方案将更多地关注物联网（IoT）、关键基础设施以及云系统和应用程序中的自我管理和安全问题。以下是CAC将在自主IT基础设施背景下解决的行业相关技术挑战的具体示例：大规模数据中心和云系统中性能和能耗的自动管理;保护和保护物联网环境中传感器和执行器及其应用或服务的操作;对IT和云资源和应用的服务质量进行预测建模;计算机资源的动态资源供应和调度;关键基础设施的自主管理和保护;物联网（IoT）资源和服务的系统管理操作的自动化。

The explosive growth of IT and cloud infrastructures, coupled with the diversity of their components and a shortage of skilled IT workers, have resulted into systems whose control and timely management exceeds human ability. The mission of the NSF Industry/University Cooperative Research Center for Cloud and Autonomic Computing (CAC) is to advance the knowledge of how to design and engineer computing systems and applications that are capable of managing themselves, adapting their resources and operations to current workloads and anticipating the needs of their users. The CAC with three university sites (the University of Arizona, the Mississippi State University, and Texas Tech University) will lead research of innovative designs and programming paradigms for cloud and computing systems that can self-configure, self-heal, self-optimize and self-protect with minimal involvement of IT administrators or users. We are planning to involve the Auto Industry through the University of Detroit Mercy (UDM), who is an affiliated member with UA. The CAC not only advances the science of autonomic computing but also accelerates its transfer to industry by closely working with industrial partners in the definition of projects pursued by the CAC, and contributing to the education of a workforce capable of designing and deploying cloud and autonomic computing systems. The CAC will involve students and faculty from underrepresented groups through several dissemination and recruiting initiatives at each site.Today's IT and cloud infrastructures face significant management challenges that result from, among other factors, their distributed nature, their need to adapt to unanticipated demands, their heterogeneity, their size, large numbers of users and great complexity and diversity of IT and cloud services. The mission of CAC is to engage academics, industrial and government partners in joint efforts that accelerate both our understanding of the fundamentals of cloud and autonomic computing, and the transfer of these fundamentals into industry solutions and education of a workforce capable of designing autonomic systems in general and cloud systems in particular. The CAC will conduct research on how to enable systems to be self-managed with respect to performance, fault, security, resilience, power consumption, etc. Unlike past attempts that address these properties in isolation, the CAC will endeavor to pursue integrated approaches that address more than one property. The technical scope of the Center?s activities includes design and evaluation methods, algorithms, architectures, software, mathematical foundations and benchmarks for cloud and autonomic systems. Solutions are studied for different levels of both centralized and distributed systems, including the hardware, networks, storage, middleware, services and information layers. The CAC solutions will focus more on self-management and security issues in Internet of Things (IoT), critical infrastructures and cloud systems and applications. The following are concrete examples of industry-relevant technical challenges that the CAC will address in the context of autonomic IT infrastructures: Automatic management of performance and energy consumption in large scale data centers and cloud systems; Securing and protecting the operations of sensors and actuators in IoT environments and their applications or services; Predictive modeling of quality-of-service of IT and cloud resources and applications; Dynamic resource provisioning and scheduling of computer resources; Autonomic management and protection of critical infrastructures; and Automation of system management operations of Internet of Things (IoT) resources and services.