MEC Sandbox is an excellent tool that simulates wireless networks and deploys ETSI Multi-access Edge Computing (MEC) APIs on top of the simulated wireless network. In this demo, we consume these APIs using a decision engine (DE) to scale a video-on-demand (VoD) application located on the network edge, assuming that the average number of users is a good proxy of the demand. Specifically, the developed DE uses the ETSI MEC Location API and retrieves the number of users in a given zone. The DE then takes actions at the microservice scaling level and executes them through a custom-made Kubernetes-based OpenAPI.
翻译:MEC Sandbox是一种极好的工具,它模拟无线网络,并在模拟无线网络之上部署ETSI多接入边缘电子计算器(MEC) API。在此演示中,我们用决定引擎(DE)来使用这些API,以扩大位于网络边缘的视频即时(VoD)应用程序的规模,假设平均用户人数是需求的良好替代物。具体地说,开发的DE使用ETSI MEC 定位API, 并检索特定区域的用户数量。 DE随后在微服务缩放级采取行动, 并通过定制的Kubernetes OpenAPI 执行这些动作。