Serverless edge computing framework to support delivery of data intensive and latency-sensitive applications in a sustainable manner

无服务器边缘计算框架，支持以可持续方式交付数据密集型和延迟敏感型应用程序

• 批准号: 561771-2021
• 负责人: Kara, NadjiaN
• 金额: $ 2.53万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 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=754223
• 关键词: Serverless; edge; computing; framework; support

Edge computing offers flexible on-demand resources and services placed in the proximity of end users and devices to meet performance requirements of a wide range of modern applications (including latency-sensitive and data-intensive applications). With the growth of these applications (e.g., serverless enabled applications), the extensive use of these resources and services is anticipated to grow exponentially and result in high energy consumption. To support this growth and to meet the performance requirements of these applications in a sustainable manner, several challenges still need to be tackled, including the efficient management of the energy consumption and the variability of resources in terms of availability and consumption while integrating the dynamics of the running applications (e.g., volatility of workflows and workloads). Therefore, this project will enable to develop new technologies for dynamic and joint optimization of performances and energy consumption in serverless edge computing platform under time-varying workflows, workloads and resource consumption while meeting the application deployment and management constraints (e.g., resources' configurations, workflows' structures). Moreover, these technologies will allow to adapt resources and their configuration runtime to optimize the resource and energy costs while meeting the performance requirements of running applications. The developed technologies will stimulate rapid Function as a Service (FaaS) edge infrastructure evolution and adoption as well as speed up the time to market for new serverless applications. They will help, the FaaS edge computing providers reducing their OPEX, since they will be able to minimize the FaaS edge computing infrastructure deployment and operational costs (minimize resource and energy consumption, automatic resource deployment and adaptation). Moreover, they will provide green and reliable FaaS edge computing infrastructure and deliver new serverless applications in sustainable manner to customers. These new technologies will enhance FaaS edge computing infrastructure and will have a great impact on the Canadian ICT market with a stronger positioning.

边缘计算提供灵活的按需资源和服务，这些资源和服务放置在终端用户和设备附近，以满足各种现代应用程序（包括延迟敏感型和数据密集型应用程序）的性能要求。随着这些应用的增长（例如，无服务器使能的应用程序），预计这些资源和服务的广泛使用将呈指数级增长，并导致高能耗。为了支持这种增长并以可持续的方式满足这些应用程序的性能要求，仍然需要解决几个挑战，包括在整合运行应用程序的动态性（例如，工作流和工作负载的波动性）。因此，该项目将能够开发新技术，用于在时变工作流，工作负载和资源消耗下，在无服务器边缘计算平台中动态和联合优化性能和能耗，同时满足应用程序部署和管理约束（例如，资源的配置、工作流的结构）。此外，这些技术将允许调整资源及其配置运行时，以优化资源和能源成本，同时满足运行应用程序的性能要求。开发的技术将刺激功能即服务（FaaS）边缘基础设施的快速发展和采用，并加快新的无服务器应用程序的上市时间。它们将帮助FaaS边缘计算提供商降低运营成本，因为它们将能够最大限度地减少FaaS边缘计算基础设施的部署和运营成本（最大限度地减少资源和能源消耗，自动资源部署和适配）。此外，他们将提供绿色和可靠的FaaS边缘计算基础设施，并以可持续的方式向客户提供新的无服务器应用程序。这些新技术将增强FaaS边缘计算基础设施，并将以更强大的定位对加拿大ICT市场产生巨大影响。