Planning, Design, and Management of Fog/IoT Environments

雾/物联网环境的规划、设计和管理

• 批准号: RGPIN-2019-06263
• 负责人: StHilaire, Marc
• 金额: $ 2.48万
• 依托单位: Carleton University
• 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=685332
• 关键词: Planning; Design; Management; Fog; IoT

With the increasing popularity of the Internet of Things (IoT), pervasive computing, healthcare services, sensor networks, and mobile devices, a lot of data is being generated at the edge of the network. Currently, the cloud is the most viable solution for storing, processing, and managing this data. However, clouds are usually located far away meaning that they are not efficient for time-sensitive services. Furthermore, moving the huge volume of data from edge to cloud leads to higher bandwidth consumption. Since cloud data centers might be located across countries, moving data will likely raise regulatory, security, and privacy issues. For this reason, the concept of fog computing (also known as edge computing) has been introduced. The fog can be seen as an extension of the cloud lying within the proximity of the underlying nodes and therefore providing quick response to applications that require it. Fog nodes can also preprocess and filter data to reduce the required bandwidth. Finally, trimmed data can be sent to the cloud for further analysis and enhanced service provisioning. To date, fog computing and IoT are considered as key enabling technologies for future 5G mobile networks. As a result, proper planning, design, and management of fog computing environments is crucial for network providers to minimize their costs (both capital and operational) and for users to enjoy a good quality of experience.******The main goal of this research program is to develop models, algorithms and software tools to plan, design, and manage fog networks. More precisely, we first want to evaluate how the concept of fog computing used in conjunction with the cloud can improve performance compared to a standalone cloud. Then, we will look at how providers can deploy and manage their fog architecture while dealing with various considerations such as cost, delay, storage, compute, etc. Different models, algorithms, and software tools will be developed to assist network operators and service providers in the planning, deployment and management phases of their networks. The developed models and algorithms will be based on various optimization techniques as well as machine learning for efficient autonomous planning, management, and orchestration.******The outcome of this research is expected to make significant contributions in developing new algorithms and tools to plan, design and manage fog networks. It will have a significant economic impact for all network providers looking to deploy and/or manage a fog network. In terms of technological impact, a proper deployment and management of fog networks will allow the creation of new real-time applications and services from different verticals. Finally, this research program is also an excellent opportunity for students to acquire expertise in the fields of IoT and fog computing which are gaining significant momentum in industry and academia.

随着物联网（IoT），普遍计算，医疗保健服务，传感器网络和移动设备的越来越普及，网络边缘正在生成许多数据。当前，云是用于存储，处理和管理此数据的最可行解决方案。但是，云通常位于较远的位置，这意味着它们对时间敏感的服务没有效率。此外，将大量数据从边缘转移到云会导致更高的带宽消耗。由于云数据中心可能位于各个国家，因此移动数据可能会引发监管，安全和隐私问题。因此，已经引入了雾计算的概念（也称为边缘计算）。雾可以看作是云的扩展，位于基础节点的接近性内，因此对需要它的应用程序提供了快速响应。雾节点还可以预处理和过滤数据以减少所需的带宽。最后，可以将修剪的数据发送到云中以进行进一步分析和增强服务提供。迄今为止，雾计算和物联网被视为未来5G移动网络的关键启用技术。结果，雾计算环境的适当规划，设计和管理对于网络提供商至关重要，以最大程度地减少其成本（资本和运营），并使用户享受优质的经验。******的主要目标是该研究计划的内容是开发模型，算法和软件工具来计划，设计和管理雾网络。更确切地说，我们首先想评估与独立云相比，与云结合使用的雾计算概念如何改善性能。然后，我们将研究提供商如何在处理各种注意事项（例如成本，延迟，存储，计算等）时如何部署和管理其雾架。不同的模型，算法和软件工具将被开发以帮助网络运营商和服务提供商在其网络的计划，部署和管理阶段。开发的模型和算法将基于各种优化技术以及机器学习，以进行有效的自主计划，管理和编排。******这项研究的结果有望在开发新算法和工具方面做出重大贡献计划，设计和管理雾网络。这将对所有希望部署和/或管理雾网络的网络提供商产生重大的经济影响。在技​​术影响方面，雾网络的适当部署和管理将允许从不同垂直行业创建新的实时应用程序和服务。最后，该研究计划也是学生在物联网和雾计算领域获得专业知识的绝佳机会，这些领域在工业和学术界都具有巨大的势头。