EAGER: Collaborative Research: Model-based Autonomic Cloud Computing Software Technology

该项目需要研究软件工程(例如，将需求映射到软件体系结构、软件体系结构模型及其适应、软件重构、可适应/自主中间件等)、网络(软件定义的网络、点对点网络、社会专用网络等)、计算机系统(虚拟、分布式计算等)。这项工作还将为分布式网络基础设施提供技术和中间件，支持移动托管的科学和教育应用程序(例如，用于虚拟网络、社交协作、资源虚拟化和不同领域的虚拟设备的中间件)。通过研究系统软件堆栈的最低层(如VMM)中移动应用程序引发的工作负载，该项目将确定如何改进这些层以更好地支持此类工作负载。该项目将促进对支持云的移动应用程序进行灵活的端到端管理所面临的多个技术问题的基本理解。需要方法来(重新)实现应用程序，以便它们的软件体系结构可以响应于环境变化时需求的变化而重新配置，并允许在运行时重构组件以供本地或远程执行。需要虚拟网络技术来实现计算从设备到可能由多个云提供的远程资源的无缝卸载。此外，软件适配和网络配置都必须按需完成。

The project entails research on software engineering (e.g., mapping requirements to software architectures, software architecture models and their adaptation, software re-factoring, adaptable/autonomic middleware, etc), networking (software-defined networking, ad-hoc peer-to-peer networks, social private networks, etc), computer systems (virtualization, distributed computing, etc). The work will also provide techniques and middleware for distributed cyberinfrastructure supportive of mobile-hosted apps for science and education (e.g. middleware for virtual networking, social collaboration, resource virtualization and virtual appliances for different domains). By studying the mobile application-induced workload at the lowest layers of the systems software stack, such as the VMM, the project will identify how these layers can be improved to better support such workloads.The project will advance the fundamental understanding of multiple technical issues faced in enabling flexible end-to-end management of cloud-supported mobile applications. Methods are needed to (re)implement applications so that their software architectures can reconfigure in response to changes in requirements as the environment changes, and to allow for runtime re-factoring of components for execution locally or remotely. Virtual networking techniques are needed to enable seamless off-loading of computation from a device to remote resources possibly provided by multiple clouds. In addition, both software adaptation and network configuration must be done on demand.