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: 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=685281
• 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. **

云计算所代表的体系结构在许多应用程序中工作得非常好。然而，有一些限制使得完全支持某些类型的应用程序变得困难。例如，物联网（IoT）应用可能需要快速分析传感器生成的大量数据，以便及时触发行动（例如，交通控制、应急响应）。通过互联网将数据传输到云数据中心可能会导致严重的延迟，从而影响及时的决策制定，这使得当前云的使用不适合具有严格实时要求的应用程序。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，一种新的计算和网络范式——雾计算应运而生。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，以满足应用程序严格的实时需求。其结果是一个复杂的技术生态系统，我们将其称为雾云平台。******应用程序可能需要雾节点和云上的软件组件。管理系统运行状况以确保应用程序可靠并拥有满足其运行时需求的资源的任务变得更具挑战性，因为雾云平台的异构性以及不同所有者的结果。目前，云数据中心由亚马逊等大型企业拥有。预计雾节点将由电信公司拥有，如加拿大贝尔公司。所需的资源通常是动态的。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和协调计算/网络资源的分配，以满足应用程序运行时的需求。通常，没有“一刀切”的管理策略。引入策略是为了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。目前的方法效果很好，但随着我们转向雾云平台，需要对政策规范进行创新变革。******我的研究计划的总体目标是开发一个基于策略的管理框架，支持雾云平台的管理。拟议研究的结果将对雾云平台的管理运作产生直接影响，使自适应系统能够支持更有效的资源利用。**