Accumulating Priority Queues & Markov Models for Health Care Wait Times & Health Recovery Modelling

累积优先级队列

• 批准号: RGPIN-2017-05450
• 负责人: Stanford, David
• 金额: $ 2.04万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636764
• 关键词: Accumulating; Priority; Queues; Markov; Models

The work to be described in this proposal intends to build upon the leadership the applicant has taken during the last funding cycle, along with his co-authors, in advancing the theory for what have come to be known as Accumulating Priority Queues(APQ). The importance of the APQ is that it is the first service discipline to balance urgency with the waiting times of customers in the system. initially proposed by Kleinrock in the 1960s, the applicant together with Profs. Taylor (Melbourne) and Ziedins were to first to obtain waiting time distributions for the Accumulating Priority Queue; this was in its single server setting. Extensions with PhD students funded by the applicant’s NSERC Discovery Grant in the last cycle have been used to obtain the waiting time distributions for the homogeneous multi-server s exponential case (Sharif et al (2014)) and the harder heterogeneous multi-server exponential case (Li & Stanford (2016)).

本提案中描述的工作旨在建立在申请人在上一个资助周期中所采取的领导地位，以及他的合著者，在推进被称为积累优先级队列（APQ）的理论。APQ的重要性在于，它是第一个平衡紧急情况与客户在系统中等待时间的服务准则。最初由Kleinrock在20世纪60年代提出，申请人与教授。Taylor （Melbourne）和Ziedins首先获得累积优先队列的等待时间分布；这是在单服务器设置中。在上一个周期中，由申请人的NSERC发现基金资助的博士生进行扩展，用于获得同质多服务器指数情况（Sharif等人（2014））和更困难的异构多服务器指数情况（Li & Stanford(2016)）的等待时间分布。