Energy Aware Mobile Cloud Computing

能源感知移动云计算

• 批准号: RGPIN-2016-05773
• 负责人: Todd, Terence
• 金额: $ 4.52万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752292
• 关键词: Energy; Aware; Mobile; Cloud; Computing

Mobile Internet communications has seen enormous growth in the past two decades, and is continuing to have a profound impact on many aspects of our personal and business lives. This growth is being fuelled by the proliferation of Internet-connected cellphones, laptops, and other wireless devices. Over this time, "mobile cloud computing" has emerged as a key driver of mobile Internet applications. In mobile cloud computing, wireless devices access online Internet-hosted servers that manage, store, and process data, rather than doing so locally. Since mobile devices tend to be far more resource limited than their infrastructure counterparts, there are many advantages to mobile cloud computing, which is fuelling its explosive growth. Mobile cloud traffic is expected to increase by more than an order of magnitude in the next five years alone.As cloud computing grows, the nature of mobile-to-cloud networking will evolve, and will include more tightly coupled mobile-to-cloud interactions. This includes "computation offloading", where tasks that would otherwise be executed locally, are offloaded to cloud servers for remote execution. There are many benefits to this, including reduced handset energy use and the execution of more sophisticated applications that would be impossible otherwise. Computation offloading promises to enable a new generation of mobile Internet applications and services.There are some key technical issues to overcome in order to exploit the full promise of computation offloading. This is the objective of the proposed research. Recent experiments have shown for example, that computation offloading performs very well under ideal wireless and cloud server conditions, which is rarely the case in existing cellular and Wi-Fi deployments. In addition, the current state-of-the-art has tended to focus on isolated mobile-to-cloud interactions, and has tended not to incorporate the effects of resource contention, practical wireless impairments, and infrastructure placement. The ultimate success of computation offloading will have to incorporate these types of issues, and the development of techniques that can achieve this is the goal of this project. The project's activities will involve algorithm development in the following areas related to the support of mobile computation offloading: (i) energy aware cloud server scheduling; (ii) dynamic network resource allocation; and, (iii) network and cloud server placement and provisioning.The outcomes of this work will extend the operating conditions over which computation offloading will be feasible, permitting its deployment over a much wider range of situations than would otherwise be possible. These results will be of major interest to Canadian network operators, service providers and users.

在过去的二十年里，移动互联网通信经历了巨大的增长，并继续对我们个人和商业生活的许多方面产生深远的影响。这种增长是由联网手机、笔记本电脑和其他无线设备的激增推动的。在此期间，“移动云计算”已经成为移动互联网应用的关键驱动力。在移动云计算中，无线设备访问管理、存储和处理数据的在线internet托管服务器，而不是在本地进行这些操作。由于移动设备的资源往往比基础设施有限得多，因此移动云计算有许多优势，这推动了其爆炸式增长。预计仅在未来五年内，移动云流量就将增加一个数量级以上。随着云计算的发展，移动到云网络的本质将会演变，并将包括更紧密耦合的移动到云交互。这包括“计算卸载”，即原本在本地执行的任务被卸载到云服务器上进行远程执行。这样做有很多好处，包括减少手机的能源消耗和执行更复杂的应用程序，否则是不可能的。计算卸载有望实现新一代移动互联网应用程序和服务。为了充分利用计算卸载的潜力，有一些关键的技术问题需要克服。这是本研究的目的。例如，最近的实验表明，在理想的无线和云服务器条件下，计算卸载表现非常好，而在现有的蜂窝和Wi-Fi部署中很少出现这种情况。此外，当前最先进的技术倾向于关注孤立的移动到云的交互，并且倾向于不考虑资源争用、实际无线损害和基础设施放置的影响。计算卸载的最终成功将必须包含这些类型的问题，而能够实现这一目标的技术开发是本项目的目标。该项目的活动将涉及与支持移动计算卸载相关的以下领域的算法开发：(i)能源感知云服务器调度；（二）动态网络资源配置；（iii）网络和云服务器的放置和配置。这项工作的结果将扩展计算卸载可行的操作条件，使其能够在更广泛的情况下部署。这些结果将引起加拿大网络运营商、服务提供商和用户的极大兴趣。