Vasu Gondaliya, Shreya Patel, Jaya T. Hemnani, Samir Patel
{"title":"Efficient vaccine scheduler based on CPU scheduling algorithms","authors":"Vasu Gondaliya, Shreya Patel, Jaya T. Hemnani, Samir Patel","doi":"10.1109/aimv53313.2021.9670986","DOIUrl":null,"url":null,"abstract":"This paper presents an efficient algorithm for scheduling vaccination process which is based on the CPU scheduling algorithms of an operating system. Based on a custom-designed scoring system of the given schedule, an analysis of why the first-come, first-served basis of scheduling vaccines is inefficient. The ranking system is based on the concept that health care personnel should be given higher priority, followed by front-line workers, major healthcare patients, elderly people, and finally the general public. This is the category in the dataset, the higher the importance of the person who needs to be vaccinated, the better the score. Different CPU scheduling methods are analyzed based on Arrival Time, Turn Around Time, Waiting Time, and Response Time. We obtain the resultant schedule after providing the dataset, the number of vaccines per day, and the selected algorithm for scheduling, and we get a customized schedule based on the data by entering the Aadhar number. The FCFS and Priority algorithms were compared to visualize the differences in efficiency for both algorithms, as well as an analysis of how many vaccines to choose per day and the related length of schedule in days.","PeriodicalId":135318,"journal":{"name":"2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)","volume":"306 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/aimv53313.2021.9670986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents an efficient algorithm for scheduling vaccination process which is based on the CPU scheduling algorithms of an operating system. Based on a custom-designed scoring system of the given schedule, an analysis of why the first-come, first-served basis of scheduling vaccines is inefficient. The ranking system is based on the concept that health care personnel should be given higher priority, followed by front-line workers, major healthcare patients, elderly people, and finally the general public. This is the category in the dataset, the higher the importance of the person who needs to be vaccinated, the better the score. Different CPU scheduling methods are analyzed based on Arrival Time, Turn Around Time, Waiting Time, and Response Time. We obtain the resultant schedule after providing the dataset, the number of vaccines per day, and the selected algorithm for scheduling, and we get a customized schedule based on the data by entering the Aadhar number. The FCFS and Priority algorithms were compared to visualize the differences in efficiency for both algorithms, as well as an analysis of how many vaccines to choose per day and the related length of schedule in days.