Service Oriented Resource Allocation in Mobile Cloud Computing

移动云计算中面向服务的资源分配

• 批准号: RGPIN-2015-03634
• 负责人: Karmouch, Ahmed
• 金额: $ 2.11万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=683246
• 关键词: Service; Oriented; Resource; Allocation; Mobile

The success of wireless networks and Cloud Computing technologies is carrying the technological advances to offer complete transparent and elastic services to the ever-growing number of mobile wireless devices. Mobile Cloud Computing is a novel paradigm that promises to provide processing and storage offloading capabilities by transferring computing resources from the mobile devices to cloud services. Challenges come from the fact that design rationale for Mobile Cloud Computing functional components has been focusing on only a very limited scope of key performance factors. Advanced Mobile Cloud scenarios require more complex mechanisms as result of being deployed in more distributed and heterogeneous infrastructures, thus driving the need for a novel design rationale. ***The long-term objective of this proposal is to develop innovative contributions (e.g., techniques, algorithms, methodologies, and the like) to support efficient modeling and design of offloading decision making coupled with a distributed resource allocation system capable of dynamically composing and self-organizing an end-to-end optimal cloud Infrastructure. The composed infrastructure is optimized for the execution of a mobile application workload. Research effort will include the following four short-term objectives:***(1) Develop analytical modelling for decentralized processing offloading decision making where strategic software components and algorithms take timely decisions on what, when, and how to start the processing offloading procedures. ***(2) Design the building blocks of a Mobile Cloud Computing architecture with their respective functionalities, aiming at (i) accommodating scalability requirements for mobile applications; (ii) providing decentralized decision making mechanisms to mobile devices in order to ease the management load at the cloud computing providers; (iii) minimizing control signaling overhead between mobile devices and the distributed cloud computing infrastructure; and (iv) realizing the dynamic computation of?oading decision update procedures (monitoring, elasticity). ***(3) Develop a dynamic resource provisioning and allocation based on factors such as the availability of cloud resources, the performance optimization objective and the topology awareness of clouds and mobile devices. ***(4) Develop a working prototype to demonstrate usefulness, capabilities, and performance of the novel Mobile Cloud Computing framework. ***The outcome of the project will significantly advance the state-of- the-art on resource allocation in Mobile Cloud Computing. It will also have profound impact on the development of industrial Mobile Cloud Computing resource management systems. The research is particularly critical for the sustained growth of mobile applications. Finally, it will provide excellent opportunities for training highly qualified personal.**

无线网络和云计算技术的成功正在推动技术进步，为不断增长的移动的无线设备提供完全透明和弹性的服务。移动的云计算是一种新的范例，其承诺通过将计算资源从移动的设备转移到云服务来提供处理和存储卸载能力。挑战来自于这样一个事实，即移动的云计算功能组件的设计原理一直只关注非常有限范围的关键性能因素。高级移动的云场景需要更复杂的机制，因为它们要部署在更加分布式和异构的基础架构中，因此需要一种新颖的设计原理。* 本提案的长期目标是发展创新贡献（例如，技术、算法、方法等）来支持与分布式资源分配系统耦合的卸载决策制定的有效建模和设计，该分布式资源分配系统能够动态地组成和自组织端到端最佳云基础设施。组合基础结构针对移动的应用程序工作负载的执行进行了优化。研究工作将包括以下四个短期目标：*（1）为分散处理卸载决策制定分析模型，其中战略软件组件和算法及时决定什么、何时以及如何开始处理卸载程序。* （2）设计具有各自功能的移动的云计算架构的构建块，旨在（i）适应移动的应用的可扩展性要求;（ii）为移动的设备提供分散的决策机制，以减轻云计算提供商的管理负担;（iii）最小化移动的设备和分布式云计算基础设施之间的控制信令开销;加载决策更新程序（监控、弹性）。* （3）根据云资源的可用性、性能优化目标、云和移动的设备的拓扑感知等因素，制定动态的资源调配和分配。* （4）开发一个工作原型，以展示新颖的移动的云计算框架的有用性、功能和性能。* 该项目的成果将显著推进移动的云计算资源分配的最新发展。这也将对工业移动的云计算资源管理系统的发展产生深远的影响。这项研究对于移动的应用的持续增长尤其重要。最后，它将为培养高素质的人才提供极好的机会。