Computation offloading through stateless applications is gaining momentum thanks to the emergence of serverless frameworks with inherent scalability properties. However, adoption of a serverless framework in an edge computing system requires careful consideration to keep its advantages unscathed. In the cloud, micro-services are scaled automatically according to demands, but in edge computing this would incur a significantly higher cost than in a data center and cannot be as fluid. This is especially relevant in scenarios where edge nodes are spread across large areas and have relatively small computation capabilities. In this article we propose to overcome this issue by adapting the allocation of demands to the currently allocated micro-services at short timescales, with two alternative mechanisms designed for different target scenarios, both aimed at enabling distributed computing environments. The proposed solution can be integrated within the ETSI MEC standard, which specifies a reference architecture and open service interfaces. Our contribution is validated in a proof-of-concept scenario with a prototype implementation released as open source.

中文翻译：

---

在边缘系统中使用无服务器解决方案实现分布式计算环境

由于具有固有可扩展性属性的无服务器框架的出现，通过无状态应用程序进行的计算卸载正在获得动力。然而，在边缘计算系统中采用无服务器框架需要仔细考虑以保持其优势不受损害。在云中，微服务会根据需求自动扩展，但在边缘计算中，这会产生比数据中心高得多的成本，并且无法流畅。这在边缘节点分布在较大区域且计算能力相对较小的场景中尤为重要。在本文中，我们建议通过在短时间内将需求分配调整到当前分配的微服务来解决这个问题，并针对不同的目标场景设计了两种替代机制，两者都旨在支持分布式计算环境。提议的解决方案可以集成到 ETSI MEC 标准中，该标准规定了参考架构和开放服务接口。我们的贡献在概念验证场景中得到验证，原型实现作为开源发布。