Research on the Design of Medical Big Data Task Scheduling Based on SOS Algorithm: Preparation of Camera-Ready Contributions to SCITEPRESS Proceedings

Yan Zeng, Jianrong Li
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Abstract

The medical big data information sharing platform has become the basic service method of today's medical services. The application of cloud computing has promoted the rapid development of medical informatization and improved the effectiveness of diagnosis and treatment. It is convenient, fast, and accurate. In the medical data query task, scheduling and allocation methods are important key technical algorithms. Based on the advantages of short task scheduling time, low cost, and high utilization rate of profit sources, this paper selects symbiosis algorithm as the task scheduling algorithm for medical big data. After simulation Experiments have proved that the effect is good.
基于SOS算法的医疗大数据任务调度设计研究——为sciitepress论文集准备可拍照稿件
医疗大数据信息共享平台已成为当今医疗服务的基本服务方式。云计算的应用促进了医疗信息化的快速发展,提高了诊疗的有效性。它方便、快捷、准确。在医疗数据查询任务中,调度和分配方法是重要的关键技术算法。基于任务调度时间短、成本低、利润源利用率高等优点,本文选择共生算法作为医疗大数据的任务调度算法。经过仿真实验证明,效果良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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