NeTS: Small: Fundamental Techniques for Incentive-aware, Efficient, and Reliable Cloudlet Management and Services

这项工作的目标是开发一些基本技术，这些技术可以促进对云资源的有效管理，以实现高云服务性能，同时最大限度地降低系统成本。这些技术旨在实现高效、可靠和低成本的移动云服务，从而以节能和资源高效的方式支持高性能无线应用。通过本研究，云服务提供商可以利用稀疏信号处理技术远程监控运行在不同位置站点的一个或多个cloudlet集群，精度高，成本低。为了减少服务初始化延迟和操作成本，系统可以缓存应用程序组件，用户可以利用所提出的速率相关布隆过滤器（RDBF）快速确定哪些cloudlets缓存了所需的应用程序组件。该系统将不再受限于虚拟机（VM）配置的有限选项，而是配备了多维定价和资源协商能力，用户可以灵活地协商多种类型的资源，在考虑用户应用程序偏好、性能要求和系统资源条件的同时，最大限度地发挥用户和cloudlets的优势。作为研究议程的补充，该项目将开展广泛的教育和推广活动，并通过工业合作伙伴和工业附属计划促进技术转让。拟议的研究是利用（移动）云计算推进国家经济和安全的一些关键领域的全球努力的一部分，包括医疗保健、交通运输、智能电网、国土安全和教育。

The goal of this work is to develop some fundamental techniques that can facilitate efficient management of cloudlet resources for high cloud service performance while minimizing the system cost. These techniques are to enable efficient, reliable and low cost mobile cloud services, which will in turn support high-performance wireless applications in an energy- and resource efficient manner. With this research, a cloud service provider can exploit sparse signal processing technique to remotely monitor one or multiple cloudlet clusters running in different location sites with high accuracy but low cost. To reduce the service initialization delay and operational cost, the system can cache application components, and a user can exploit the proposed rate dependent Bloom filter (RDBF) to quickly determine of some cloudlets have its required application components cached. Rather than being constrained by a limited number of options for virtual machine (VM) configurations, the system will be equipped with multi-dimensional pricing and resource negotiation capabilities for a user to flexibly negotiate multiple types of resources to maximize the benefits of both users and cloudlets while taking into account user application preference, performance requirements, and the system resource conditions. Complementary to the research agenda, the project will carry out a broad range of education and outreach activities and facilitate technology transfer through the industrial partners and industry affiliate programs. The proposed research is part of a global effort in exploiting (mobile) cloud computing for advancing some critical fields for national economy and security, including health-care, transportation, smart-grid, homeland security, and education.