{"title":"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","authors":"Yan Zeng, Jianrong Li","doi":"10.1145/3523286.3524566","DOIUrl":null,"url":null,"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.","PeriodicalId":268165,"journal":{"name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Design of Medical Big Data Task Scheduling Based on SOS Algorithm: Preparation of Camera-Ready Contributions to SCITEPRESS Proceedings\",\"authors\":\"Yan Zeng, Jianrong Li\",\"doi\":\"10.1145/3523286.3524566\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":268165,\"journal\":{\"name\":\"2022 2nd International Conference on Bioinformatics and Intelligent Computing\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 2nd International Conference on Bioinformatics and Intelligent Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3523286.3524566\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3523286.3524566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Design of Medical Big Data Task Scheduling Based on SOS Algorithm: Preparation of Camera-Ready Contributions to SCITEPRESS Proceedings
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.