A New Caching Algorithm for Boosting Edge Computing Performance
Ziyin Zhang, Wei Hao · 2020
Cloud computing is a rapidly growing technology in recent years. However, as there are a limited number of cloud data centers across the world, accessing a distant cloud will cause long response latency. To solve this issue, edge computing has been proposed as one of the most promising approaches. It brings the computing resources geologically closer to end users with reduced access latency. Since the development of edge computing is still at its infancy, there is no mature architecture framework. A three-tiered system architecture is one of the many frameworks proposed. In this paper, a new caching algorithm based on data mining technique was proposed for the three-tiered edge computing architecture. The simulation and experiment results show that equipped with the new caching algorithm, the performance of a web application can be improved using the three-tiered edge computing architecture.