Developing Efficient and Effective Algorithms for Complete Analysis of a Class of Vacation Queueing Models
开发高效且有效的算法来完整分析一类假期排队模型
基本信息
- 批准号:6584-2013
- 负责人:
- 金额:$ 3.35万
- 依托单位:
- 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:
- 关键词:
项目摘要
Queueing delays are one of the most intolerable, yet inevitable, aspects of all service systems. Vacation queues are a major class of queues that occur very frequently in real life. They are applied to systems in which the server is often interrupted (including priority systems), and more specifically used to approximate polling systems - queues in which service is provided through access to a shared medium. Examples include: wireless local area network, processing of manufacturing pieces at a workstation, traffic intersection control systems, and scheduling of patients, based on priorities, for healthcare procedures such as surgery, echocardiogram, etc, and recently cognitive radio networks. In order to provide effective and efficient services that minimize costs while ensuring the quality of service is at an acceptable level to the system users, managers need mathematical models for analyzing these systems and estimating delays so they can work at reducing them. The existing mathematical models for vacation models are either too complex to implement or make unrealistic simplifying assumptions that render them not truly reflective of the actual systems being represented. Our main goal in this proposal is to develop computationally feasible, efficient and effective tools, based on the matrix-analytic methods, for analyzing this very important class of queueing models. We will construct the models that are truly more representative of commonly occurring vacation systems and explore mathematical structures that make the solutions realistically tractable in terms of creating implementable algorithms. The results of this research include providing tools for accurately studying several classes of protocols in communication systems. This will assist in designing more efficient and cost effective communication systems that guarantee users the quality of service they expect. The results can also be applied in the areas of healthcare, transportation and manufacturing.
延误是所有服务系统中最令人无法忍受但又不可避免的方面之一。休假队列是真实的生活中经常出现的一类主要队列。它们适用于服务器经常中断的系统(包括优先级系统),更具体地说,用于近似轮询系统-通过访问共享介质提供服务的队列。示例包括:无线局域网、在工作站处的制造件的处理、交通交叉口控制系统、以及基于诸如外科手术、超声心动图等的健康护理程序的优先级的患者调度,以及最近的认知无线电网络。为了提供有效和高效的服务,最大限度地降低成本,同时确保服务质量是在一个可接受的水平,系统用户,管理人员需要数学模型来分析这些系统和估计延迟,以便他们可以在减少他们的工作。现有的休假模型的数学模型要么太复杂,无法实现,要么做出不切实际的简化假设,使它们不能真正反映所代表的实际系统。我们在这个建议的主要目标是开发计算上可行的,高效和有效的工具,基于矩阵分析方法,分析这类非常重要的嵌入式模型。我们将构建真正更能代表常见休假系统的模型,并探索数学结构,使解决方案在创建可实施的算法方面变得切实可行。这项研究的结果包括提供工具,准确地研究通信系统中的几类协议。这将有助于设计更有效和更具成本效益的通信系统,以保证用户所期望的服务质量。研究结果也可应用于医疗保健、交通运输和制造业等领域。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Alfa, Attahiru其他文献
Optimal resource allocation solutions for heterogeneous cognitive radio networks
- DOI:
10.1016/j.dcan.2016.11.003 - 发表时间:
2017-05-01 - 期刊:
- 影响因子:7.9
- 作者:
Awoyemi, Babatunde;Maharaj, Bodhaswar;Alfa, Attahiru - 通讯作者:
Alfa, Attahiru
Alfa, Attahiru的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Alfa, Attahiru', 18)}}的其他基金
Developing Efficient and Effective Algorithms for Complete Analysis of a Class of Vacation Queueing Models
开发高效且有效的算法来完整分析一类假期排队模型
- 批准号:
6584-2013 - 财政年份:2016
- 资助金额:
$ 3.35万 - 项目类别:
Discovery Grants Program - Individual
Developing Efficient and Effective Algorithms for Complete Analysis of a Class of Vacation Queueing Models
开发高效且有效的算法来完整分析一类假期排队模型
- 批准号:
446147-2013 - 财政年份:2015
- 资助金额:
$ 3.35万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Developing Efficient and Effective Algorithms for Complete Analysis of a Class of Vacation Queueing Models
开发高效且有效的算法来完整分析一类假期排队模型
- 批准号:
6584-2013 - 财政年份:2015
- 资助金额:
$ 3.35万 - 项目类别:
Discovery Grants Program - Individual
Developing Efficient and Effective Algorithms for Complete Analysis of a Class of Vacation Queueing Models
开发高效且有效的算法来完整分析一类假期排队模型
- 批准号:
446147-2013 - 财政年份:2014
- 资助金额:
$ 3.35万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Developing Efficient and Effective Algorithms for Complete Analysis of a Class of Vacation Queueing Models
开发高效且有效的算法来完整分析一类假期排队模型
- 批准号:
6584-2013 - 财政年份:2014
- 资助金额:
$ 3.35万 - 项目类别:
Discovery Grants Program - Individual
Developing Efficient and Effective Algorithms for Complete Analysis of a Class of Vacation Queueing Models
开发高效且有效的算法来完整分析一类假期排队模型
- 批准号:
446147-2013 - 财政年份:2013
- 资助金额:
$ 3.35万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Developing Efficient and Effective Algorithms for Complete Analysis of a Class of Vacation Queueing Models
开发高效且有效的算法来完整分析一类假期排队模型
- 批准号:
6584-2013 - 财政年份:2013
- 资助金额:
$ 3.35万 - 项目类别:
Discovery Grants Program - Individual
Estimating tail probabilities of delays and queue lengths for telecommunication applications
估计电信应用的延迟和队列长度的尾部概率
- 批准号:
6584-2007 - 财政年份:2012
- 资助金额:
$ 3.35万 - 项目类别:
Discovery Grants Program - Individual
Estimating tail probabilities of delays and queue lengths for telecommunication applications
估计电信应用的延迟和队列长度的尾部概率
- 批准号:
6584-2007 - 财政年份:2010
- 资助金额:
$ 3.35万 - 项目类别:
Discovery Grants Program - Individual
NSERC Industrial Research Chair in Teletraffic Demand Forecasting and Performance Analysis of Wireless/Mobile Communication Systems
NSERC 无线/移动通信系统电信需求预测和性能分析工业研究主席
- 批准号:
320562-2003 - 财政年份:2010
- 资助金额:
$ 3.35万 - 项目类别:
Industrial Research Chairs
相似海外基金
Nanobubbles for effective and energy efficient water treatment
用于有效且节能的水处理的纳米气泡
- 批准号:
IE230100437 - 财政年份:2024
- 资助金额:
$ 3.35万 - 项目类别:
Early Career Industry Fellowships
CAREER: Efficient and Effective Quantum Program Optimization in the High-Dimensional Space
职业:高维空间中高效且有效的量子程序优化
- 批准号:
2338773 - 财政年份:2024
- 资助金额:
$ 3.35万 - 项目类别:
Continuing Grant
Efficient and effective methods for classifying massive time series data
海量时间序列数据高效有效的分类方法
- 批准号:
DP240100048 - 财政年份:2024
- 资助金额:
$ 3.35万 - 项目类别:
Discovery Projects
ATD: Efficient and Effective Algorithms for Detection of Anomalies in High-dimensional Spatiotemporal Data with Large Amounts of Missing Data
ATD:高效且有效的高维时空数据异常检测算法
- 批准号:
2318925 - 财政年份:2023
- 资助金额:
$ 3.35万 - 项目类别:
Standard Grant
Effective and efficient conservation of heath forest on Belitung Island based on botanical characteristics assessments
基于植物特征评估的勿里洞岛石南森林的有效和高效保护
- 批准号:
23KK0115 - 财政年份:2023
- 资助金额:
$ 3.35万 - 项目类别:
Fund for the Promotion of Joint International Research (International Collaborative Research)
CRII: III: Towards Effective and Efficient City-scale Traffic Reconstruction
CRII:III:迈向有效和高效的城市规模交通重建
- 批准号:
2412340 - 财政年份:2023
- 资助金额:
$ 3.35万 - 项目类别:
Standard Grant
Collaborative Research: An Effective and Efficient Low-Cost Alternate to Cell Aware Test Generation for Cell Internal Defects
协作研究:针对电池内部缺陷的电池感知测试生成有效且高效的低成本替代方案
- 批准号:
2331003 - 财政年份:2023
- 资助金额:
$ 3.35万 - 项目类别:
Standard Grant
Collaborative Research: An Effective and Efficient Low-Cost Alternate to Cell Aware Test Generation for Cell Internal Defects
协作研究:针对电池内部缺陷的电池感知测试生成有效且高效的低成本替代方案
- 批准号:
2331002 - 财政年份:2023
- 资助金额:
$ 3.35万 - 项目类别:
Standard Grant
Efficient and cost-effective breast cancer risk stratification using whole slide histopathology images
使用全玻片组织病理学图像进行高效且经济的乳腺癌风险分层
- 批准号:
10649978 - 财政年份:2023
- 资助金额:
$ 3.35万 - 项目类别:
Digital twins for building decarbonisation: novel framework for efficient building operations and effective retrofit pathways
用于建筑脱碳的数字孪生:高效建筑运营和有效改造途径的新颖框架
- 批准号:
2880775 - 财政年份:2023
- 资助金额:
$ 3.35万 - 项目类别:
Studentship