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-2018-06554
• 负责人: StHilaire, Marc
• 金额: $ 1.68万
• 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: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=665976
• 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 are crucial to 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 in conjunction with the cloud can improve performance compared to a standalone cloud. Once the benefits of fog computing have been clearly demonstrated, 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 project 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)、普适计算、医疗保健服务、传感器网络和移动设备的日益普及，大量数据在网络边缘产生。目前，云是存储、处理和管理这些数据的最可行的解决方案。然而，云通常位置较远，这意味着它们对于时间敏感的服务效率不高。此外，将大量数据从边缘转移到云端会导致更高的带宽消耗。由于云数据中心可能位于不同国家，移动数据可能会引发监管、安全和隐私问题。为此，引入了雾计算（也称为边缘计算）的概念。雾可以被视为云的延伸，位于底层节点附近，因此可以快速响应需要它的应用程序。雾节点还可以预处理和过滤数据以减少所需的带宽。最后，修剪后的数据可以发送到云端进行进一步分析和增强服务配置。迄今为止，雾计算和物联网被认为是未来 5G 移动网络的关键支持技术。因此，正确的规划、设计和管理雾计算环境对于提供商最大限度地降低成本（资本和运营成本）并让用户享受良好的体验质量至关重要。******的主要目标该研究计划旨在开发模型、算法和软件工具来规划、设计和管理雾网络。更准确地说，我们首先要评估与独立云相比，雾计算与云结合的概念如何提高性能。一旦清楚地证明了雾计算的好处，我们将研究提供商如何部署和管理其雾架构，同时处理各种考虑因素，例如成本、延迟、存储、计算等。不同的模型、算法和软件工具将旨在协助网络运营商和服务提供商进行网络的规划、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，以实现高效的自主规划、管理和编排。******这项研究的成果预计将为开发新算法和工具做出重大贡献规划、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。就技术影响而言，雾网络的正确部署和管理将允许从不同的垂直领域创建新的实时应用程序和服务。最后，该项目也是学生获得物联网和雾计算领域专业知识的绝佳机会，这些领域在工业界和学术界获得了巨大的发展势头。