Efficient Cloud-Edge-Device Query Execution Based on Collaborative Scan Operator

TL;DR

This paper introduces a collaborative scan operator framework for cloud-edge-device query processing, enabling seamless switching and improved performance by balancing resources and alleviating bottlenecks at the edge.

Contribution

It proposes a novel collaborative scan operator framework that enhances query execution flexibility and performance in cloud-edge-device environments.

Findings

Effective in alleviating I/O and CPU bottlenecks at the edge.

Balances resource scheduling between cloud and edge.

Improves overall query performance under high load.

Abstract

In cloud-edge-device (CED) collaborative query (CQ) processing, by leveraging CED collaboration, the advantages of both cloud computing and edge resources can be fully integrated. However, it is difficult to implement collaborative operators that can flexibly switch between the cloud and the edge during query execution. Thus, in this paper, we aim to improve the query performance when the edge resources reach a bottleneck. To achieve seamless switching of query execution between the cloud and edge, we propose a CQ processing method by establishing a CED collaborative framework based on the collaborative scan operator, so that query execution can be transferred to the cloud at any time when the edge resources are saturated. Extensive experiments show that, under sufficient network download bandwidth, the CED collaborative scan operator can effectively alleviate the performance degradation of scan operators caused by high I/O load and CPU wait time at the edge. It also achieves balanced resource scheduling between the cloud and edge.