云计算
计算机科学
边缘计算
数据中心
服务器
分布式计算
调度(生产过程)
服务质量
GSM演进的增强数据速率
编配
虚拟化
边缘设备
计算机网络
操作系统
工程类
电信
艺术
音乐剧
运营管理
视觉艺术
作者
Samuel Rac,Mats Brorsson
标识
DOI:10.1109/ic2e59103.2023.00025
摘要
The edge to data center computing continuum is the aggregation of computing resources located anywhere between the network edge (e.g. close to 5G antennas), and servers in traditional data centers. Kubernetes is the de facto standard for container orchestration. It is very efficient in a data center environment, but it fails to give the same performance when adding edge resources. At the edge, resources are more limited, and networking conditions are changing over time.In this paper, we present a methodology that lowers the costs of running applications in the edge-to-cloud computing continuum. A cost-aware scheduler enables this optimization. We are also monitoring the Key Performance Indicators of the applications to ensure that cost optimizations do not impact negatively their Quality of Service. In addition, to ensure that performances are optimal even when users are moving, we introduce a background process that periodically checks if a better location is available for the application. To demonstrate the performance of our scheduling approach, we evaluate it on a vehicle cooperative perception use case, a representative 5G application.
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