Edge Diagnostics Platform: Orchestration and Diagnosis Model for Edge Computing Infrastructure

Abstract

The increasing demand for low-latency high-performance applications motivates the development of network and compute infrastructure. As an emerging paradigm, edge computing is becoming the chosen solution for many low-latency applications in many industries. However, the current orches-tration and diagnostics methods do not fulfill the requirements of the new edge computing architectures. In contrast to cloud computing, edge applications are very sensitive to changes in the infrastructure. And thus, the orchestration and diagnosis of the infrastructure must be aware of the edge application's special needs. In this research work, we present a solution model: The Edge Diagnostics Platform. The platform has two main functions: Orchestration and Diagnosis. We show the design principles of the platform, how it can help with the orchestration and diagnosis of edge applications. Finally, we carry out practical experiments to show how the platform may be used to diagnose network and CPU problems. The results show practically accurate detection of network and CPU problems.