Latency-sensitive and data-intensive applications, such as IoT or mobile services, are leveraged by Edge computing, which extends the cloud ecosystem with distributed computational resources in proximity to data providers and consumers. This brings significant benefits in terms of lower latency and higher bandwidth. However, by definition, edge computing has limited resources with respect to cloud counterparts; thus, there exists a trade-off between proximity to users and resource utilization. Moreover, service availability is a significant concern at the edge of the network, where extensive support systems as in cloud data centers are not usually present. To overcome these limitations, we propose a score-based edge service scheduling algorithm that evaluates network, compute, and reliability capabilities of edge nodes. The algorithm outputs the maximum scoring mapping between resources and services with regard to four critical aspects of service quality. Our simulation-based experiments on live video streaming services demonstrate significant improvements in both network delay and service time. Moreover, we compare edge computing with cloud computing and content delivery networks within the context of latency-sensitive and data-intensive applications. The results suggest that our edge-based scheduling algorithm is a viable solution for high service quality and responsiveness in deploying such applications.

中文翻译：

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通过边缘调度解决应用程序延迟要求

边缘计算利用了对延迟敏感的数据密集型应用程序，例如物联网或移动服务，该应用程序通过分布式计算资源将云生态系统扩展到数据提供商和消费者附近。就较低的延迟和较高的带宽而言，这带来了显着的好处。但是，根据定义，边缘计算相对于云计算对手而言具有有限的资源。因此，在接近用户和资源利用之间存在折衷。此外，服务可用性是网络边缘的一个重要问题，在网络边缘，通常不存在像云数据中心那样的广泛支持系统。为了克服这些限制，我们提出了一种基于分数的边缘服务调度算法，该算法可评估边缘节点的网络，计算和可靠性功能。该算法针对服务质量的四个关键方面输出资源和服务之间的最大得分映射。我们基于模拟的实时视频流服务实验表明，网络延迟和服务时间都得到了显着改善。此外，我们在对延迟敏感的数据密集型应用程序的上下文中将边缘计算与云计算和内容交付网络进行了比较。结果表明，我们的基于边缘的调度算法是在部署此类应用程序时实现高服务质量和响应能力的可行解决方案。此外，我们在对延迟敏感的数据密集型应用程序的上下文中将边缘计算与云计算和内容交付网络进行了比较。结果表明，我们的基于边缘的调度算法是在部署此类应用程序时实现高服务质量和响应能力的可行解决方案。此外，我们在对延迟敏感的数据密集型应用程序的上下文中将边缘计算与云计算和内容交付网络进行了比较。结果表明，我们的基于边缘的调度算法是在部署此类应用程序时实现高服务质量和响应能力的可行解决方案。