Security, Scalability and Agility in Distributed Network and Storage Systems

社交网络、移动应用、基于云的服务和物联网设备的使用正在迅速改变计算模式，实现了一种全新的技术格局。为了充分利用这一新模式提供的优势，需要大胆的新创新来解决关键问题：隐私、安全、效率和可扩展性一直是这个新的互联世界中最令人担忧的问题。当前的系统都不是按照我们今天所需要的容量、连接性或使用量来设计的。该提案的一部分重点是建立下一代预防和检测系统。这些系统将为使用新兴软件定义网络技术的系统提供新颖和全面的自动化监控和访问控制。我们正计划设计轻量级、独立的软件，可以在不同的平台上运行，并且可以将任务从一台设备无缝地转移到另一台设备。我们还将为大规模系统构建一个信任框架，该框架是安全的，并考虑到来自系统中各个级别和节点的信息。近年来，人们逐渐转向基于软件的云存储，一些人估计，到2020年，我们所有信息的80%以上将被远程存储。本提案的另一部分重点是基于软件的智能分布式存储系统，可以根据不同的指标和性能要求轻松进行配置。该解决方案将使用强大的加密算法保护数据的机密性，同时提供卓越的功能和可扩展性。该项目将保护人们数据的隐私，而不会限制他们对他们喜欢的技术的访问。该项目还允许为新兴行业培训HQP，在该行业中，目前对这些高度专业化的专业知识有着迫切的需求。

The use of social networks, mobile applications, cloud-based services and Internet of Things devices is rapidly changing the computing paradigm, enabling a brand new technological landscape. To fully take advantage of what this new paradigm offers, bold new innovations are needed to address key issues: privacy, security, efficiency and scalability have been some of the top concerns in this new connected world. None of the current systems were designed with the volume, connectivity, or usage that we require today. Part of this proposal focuses on building next generation prevention and detection systems. These systems will provide novel and comprehensive automated monitoring and access control of systems that utilize the emerging Software-Defined Networking technology. We are planning to design lightweight, standalone, pieces of software that can run on different platforms, and for which tasks can be moved seamlessly from one device to another. We will also build a trust framework for large scale systems, that is secure and takes into account information from various levels and nodes in the system. In recent years, there has been a gradual shift to software, cloud-based storage, with some estimates claiming that more than 80% of all of our information will be remotely stored by 2020. Another part of this proposal focuses on smart, software-based distributed storage systems that can be easily configured based on different metrics and performance requirements. This solution will protect the confidentiality of data using strong encryption algorithms, while providing for a superior functionality and scalability. This project will secure the privacy of people's data without limiting their access to the technology they have come to love. This project also allows for training of HQP for an emerging industry in which there is currently an acute demand for these highly specialized expertise.