AI-enabled, self-adaptive software-defined networking for the Small Office and Home Office (SOHO)
适用于小型办公室和家庭办公室 (SOHO) 的人工智能自适应软件定义网络
基本信息
- 批准号:566676-2021
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Alliance Grants
- 财政年份:2021
- 资助国家:加拿大
- 起止时间:2021-01-01 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The small office and home office (SOHO) market plays a critical role in the current and future Canadian economy. SOHO heavily relies on software-defined networking to provide centralized network control alongside facilities for efficient network configuration and monitoring. With the unprecedented reliance of businesses and the society at large on the Internet, reliable connectivity in SOHO has become a must.This project will develop an Artificial Intelligence (AI)-enabled approach for the automatic derivation and operationalization of adaptation rules in SOHO networks. Our research is the first attempt at scientifically applying AI - more specifically machine learning and evolutionary algorithms - for making SOHO networks self-adaptive. The project will be a bilateral partnership between the University of Ottawa and RabbitRun Technologies: an Ontario-based SME, manufacturing innovative SOHO networking products.The main outcome of the project will be a scientifically designed and evaluated solution that brings self-adaptivity to SOHO networks through the application of advanced AI techniques. The solution is in response to observed industrial needs, thus bearing the potential for direct impact on the already large and thriving SOHO market. To demonstrate its practical usefulness and alignment with market needs, the developed solution will be benchmarked on real-world industrial scenarios.
小型办公室和家庭办公室(SOHO)市场在当前和未来的加拿大经济中发挥着至关重要的作用。 SOHO 严重依赖软件定义网络来提供集中式网络控制以及高效网络配置和监控的设施。随着企业和整个社会对互联网的前所未有的依赖,SOHO 中的可靠连接已成为必须。该项目将开发一种支持人工智能 (AI) 的方法,用于自动推导和操作 SOHO 网络中的适应规则。我们的研究是科学地应用人工智能(更具体地说是机器学习和进化算法)来使 SOHO 网络具有自适应性的首次尝试。该项目将是渥太华大学和 RabbitRun Technologies 之间的双边合作伙伴关系:RabbitRun Technologies 是一家位于安大略省的中小企业,生产创新的 SOHO 网络产品。该项目的主要成果将是一个经过科学设计和评估的解决方案,为 SOHO 网络带来自适应性通过先进人工智能技术的应用。该解决方案是为了满足观察到的工业需求,因此有可能对已经庞大且蓬勃发展的 SOHO 市场产生直接影响。为了展示其实际用途以及与市场需求的一致性,所开发的解决方案将以现实世界的工业场景为基准。
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)
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Sabetzadeh, Mehrdad其他文献
Automated Checking of Conformance to Requirements Templates Using Natural Language Processing
- DOI:
10.1109/tse.2015.2428709 - 发表时间:
2015-10-01 - 期刊:
- 影响因子:7.4
- 作者:
Arora, Chetan;Sabetzadeh, Mehrdad;Zimmer, Frank - 通讯作者:
Zimmer, Frank
An Active Learning Approach for Improving the Accuracy of Automated Domain Model Extraction
- DOI:
10.1145/3293454 - 发表时间:
2019-02-01 - 期刊:
- 影响因子:4.4
- 作者:
Arora, Chetan;Sabetzadeh, Mehrdad;Briand, Lionel - 通讯作者:
Briand, Lionel
Automated Extraction and Clustering of Requirements Glossary Terms
- DOI:
10.1109/tse.2016.2635134 - 发表时间:
2017-10-01 - 期刊:
- 影响因子:7.4
- 作者:
Arora, Chetan;Sabetzadeh, Mehrdad;Zimmer, Frank - 通讯作者:
Zimmer, Frank
Synthetic Data Generation for Statistical Testing
- DOI:
10.1109/ase.2017.8115698 - 发表时间:
2017-01-01 - 期刊:
- 影响因子:0
- 作者:
Soltana, Ghanem;Sabetzadeh, Mehrdad;Briand, Lionel C. - 通讯作者:
Briand, Lionel C.
A relationship-based approach to model integration
- DOI:
10.1007/s11334-011-0155-2 - 发表时间:
2012-03-01 - 期刊:
- 影响因子:1.2
- 作者:
Chechik, Marsha;Nejati, Shiva;Sabetzadeh, Mehrdad - 通讯作者:
Sabetzadeh, Mehrdad
Sabetzadeh, Mehrdad的其他文献
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{{ truncateString('Sabetzadeh, Mehrdad', 18)}}的其他基金
Infusing Artificial Intelligence into Requirements Quality Assurance
将人工智能融入需求质量保证
- 批准号:
RGPAS-2020-00076 - 财政年份:2022
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Infusing Artificial Intelligence into Requirements Quality Assurance
将人工智能融入需求质量保证
- 批准号:
RGPIN-2020-03991 - 财政年份:2022
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Infusing Artificial Intelligence into Requirements Quality Assurance
将人工智能融入需求质量保证
- 批准号:
RGPIN-2020-03991 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Infusing Artificial Intelligence into Requirements Quality Assurance
将人工智能融入需求质量保证
- 批准号:
RGPAS-2020-00076 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Infusing Artificial Intelligence into Requirements Quality Assurance
将人工智能融入需求质量保证
- 批准号:
RGPIN-2020-03991 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Infusing Artificial Intelligence into Requirements Quality Assurance
将人工智能融入需求质量保证
- 批准号:
RGPAS-2020-00076 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Infusing Artificial Intelligence into Requirements Quality Assurance
将人工智能融入需求质量保证
- 批准号:
DGECR-2020-00260 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Launch Supplement
Model Management for Requirements and Design
需求和设计的模型管理
- 批准号:
357919-2008 - 财政年份:2008
- 资助金额:
$ 1.82万 - 项目类别:
Postdoctoral Fellowships
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