ASAP: Adaptive and Scalable Microservice Provisioning for Edge-IoT Networks
ASAP: Adaptive and Scalable Microservice Provisioning for Edge-IoT Networks
复制标题
DOI：
10.23919/wons57325.2023.10062045
复制
发表时间：
2023-01
期刊：
影响因子：
--
通讯作者：
Amit Samanta;Flavio Esposito;Tri Gia Nguyen
中科院分区：
文献类型：
--
作者：
Amit Samanta;Flavio Esposito;Tri Gia Nguyen
边缘计算范式旨在从支持物联网（IoT）的网络边缘设备提供计算和存储资源，同时传播端到端延迟并增加移动计算能力。对于可伸缩的微服务供应，最近提出的方法经常需要关于微服务类型、计算能力和其他参数的先验信息。在存在这些限制的情况下，目前的方法需要面对任务关键型和资源密集型应用程序的较低体验质量。本文研究了移动边缘计算的微服务提供问题，并提出了一种自适应、可扩展的解决方案。我们最优微服务差异化方案的核心是ASAP，一种用于网络资源编排的微服务级抽象。ASAP通过最小化微服务延迟来提供自适应和可扩展的微服务，同时最大化网络吞吐量。通过在本地测试平台上测试的原型和跟踪驱动的模拟，我们展示了与基于边缘微服务执行的其他解决方案相比，ASAP如何提高吞吐量。
The edge computing paradigm aims at provisioning compute and storage resources from Internet-of-Things (IoT)-enabled devices at the network edge, while disseminating the end-to-end latency and increasing mobile computational capacity. For scalable provisioning of microservices, recently proposed methods frequently need a priori information on the microservice type, computational capacity, and other parameters. In the presence of such restrictions, the present methods need to face lower quality of experience for mission-critical and resource-hungry applications. In this paper, we study the problem of microservice provisioning for mobile edge computing, and we propose an adaptive and scalable solution. The core of our optimal microservice differentiation scheme is ASAP, a microservice-level abstraction for the orchestration of network resources. ASAP provides adaptive and scalable microservice provisioning by minimizing microservice delay, while maximizing the network throughput. With a prototype tested over a local testbed and trace-driven simulations, we show how ASAP increases throughput compared to other solutions based on the executions of microservices at the edge.