Authors: Meredith Whittaker,University of Technology Sydney
Kate Crawford,New York University
Paul Christiano,UC Berkeley
Abstract:To improve the efficiency of cloud storage services like mobile cloud disks and troubleshoot potential product issues, this paper proposes a multi-node, multi-network automated testing system for mobile cloud disks. The system deploys speed measurement nodes within the mobile cloud disk resource pool to simulate the process of cloud disk data transmission. Through front-end HTML5 technology, it collects network quality indicators from the user end to the server end, including upload and download bandwidth, network latency, network status, and IP data. By leveraging user crowdsourcing, the system aims to identify product performance issues across multiple regions and networks, and achieve convenient data acquisition to optimize and improve the deployment of product service nodes.
Keywords: Automated testing, quality control, personal cloud disk, crowdsourcing
