Intent-Based Policy Management for Fog-Cloud Platforms

雾云平台基于意图的策略管理

• 批准号: RGPIN-2019-06613
• 负责人: Lutfiyya, Hanan
• 金额: $ 2.48万
• 依托单位: University of Western Ontario
• 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=749857
• 关键词: Intent; Based; Policy; Management; Fog

The architectural structure represented by cloud computing has worked very well for many applications. However, there are limitations that make it difficult to fully support certain types of applications. For example, an Internet of Things (IoT) application may require large amounts of data generated by sensors to be analyzed quickly in order to trigger actions in a timely fashion (e.g., traffic control, emergency response). Transferring data over the Internet to a cloud data center may incur significant delays that impact timely decision making which makes the use of current clouds unsuitable for applications with stringent real-time requirements. Furthermore, the transfer of large amounts of data over the network potentially could impact the costs associated with the network infrastructure needed to support the data transfer. To tackle these issues a new computing and networking paradigm, Fog Computing, has emerged. The main goal of fog computing is to distribute computing, storage, control, and networking services by bringing services to the network edge, where data is generated and where decisions will often need to be made in order to address stringent real-time requirements of applications. The result is a complex ecosystem of technologies, which we will refer to as the fog-cloud platform. Applications may require software components on both fog nodes and on clouds. The task of managing system health to ensure that applications are reliable and have the resources to satisfy their run-time requirements becomes more challenging due to the heterogeneity of the fog-cloud platform but also as the result of different owners. Currently, cloud data centers are owned by large businesses e.g., Amazon. It is anticipated that fog nodes will be owned by telecommunications companies e.g., Bell Canada. The resources needed are often dynamic over time. The implication is that management of the fog-cloud platform will require that management system used by the owners of the component systems are able to dynamically collaborate and coordinate the allocation of computing/network resources to satisfy application run-time requirements. Typically, there isn't a "one size fits all" management strategy. Policies were introduced to enable management systems to specify management strategies that are interpreted at run-time by management systems. This allows for changes in management strategies. Current approaches have worked well but as we move to fog-cloud platforms there is a need for innovative changes in the policy specification.  The overarching objective of my research program is the development of a policy-based management framework that supports management of the fog-cloud platform.  The results of the proposed research will have a direct impact on the management operations of the fog-cloud platforms enabling self-adaptive systems supporting more efficient resource use.

以云计算为代表的架构结构对于许多应用程序来说效果很好，但是存在一些限制，使其难以完全支持某些类型的应用程序，例如物联网（IoT）应用程序可能需要生成大量数据。通过传感器进行快速分析，以便及时触发行动（例如，交通控制、紧急响应）。通过互联网将数据传输到云数据中心可能会导致严重延迟，从而影响利用当前信息的及时决策。云不适合具有严格要求的应用程序此外，通过网络传输大量数据可能会影响与支持数据传输所需的网络基础设施相关的成本，为了解决这些问题，出现了一种新的计算和网络范式——雾计算。雾计算的主要目标是通过将服务带到网络边缘来分发计算、存储、控制和网络服务，在网络边缘生成数据并经常需要做出决策，以满足严格的实时要求。结果是一个复杂的技术生态系统，我们将提到它。由于异构性，应用程序可能需要雾节点和云上的软件组件，以确保应用程序可靠并拥有满足其运行时要求的资源变得更具挑战性。目前，云数据中心由大型企业（例如亚马逊）拥有，预计雾节点将由电信公司（例如贝尔加拿大）拥有。通常随着时间的推移而动态变化。这意味着雾云平台的管理将要求组件系统所有者使用的管理系统能够动态协作并协调计算/网络资源的分配，以满足应用程序运行时的要求。引入了“一刀切”的管理策略，使管理系统能够指定由管理系统在运行时解释的管理策略，这允许管理策略的变化，但随着我们的发展。对于雾云平台来说，需要进行创新性的改变​我的研究计划的总体目标是开发一个支持雾云平台管理的基于策略的管理框架​所提出的研究结果将对雾的管理操作产生直接影响。 -云平台支持自适应系统，支持更高效的资源利用。