Dynamic Network Traffic Identification with Scalable and Resilient Machine Learning
Dynamic Network Traffic Identification with Scalable and Resilient Machine Learning
批准号:
576922-2022
负责人:
Liang, BenB
金额:
$2.19万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31
中文摘要
随着大数据人工智能、增强现实、无线多媒体和物联网(IoT)等数据密集型应用的出现,当前一代网络基础设施将面临严峻挑战,以满足爆炸性的服务需求。为了在这些不同的应用之间有效地分配可用的网络资源,流量分类已经成为网络优化运行的关键技术。此外,新应用程序的不断变化的特点要求采用灵活和自动化的方法。为了应对这些挑战,并与TELUS合作,我们提出了一个新的研究项目,以开发动态机器学习(ML)技术来对互联网服务提供商(ISP)的网络流量进行分类。我们的长期目标是了解ML和网络系统之间的交集,并发现新的理论和实用的基于ML的互联网服务提供商设计指南。在本项目的较短期内,我们将重点放在(1)开发可扩展的基于ML的动态网络流量分类设计,以及(2)设计用于稳健网络流量分类的弹性ML算法。我们的科学发现将有助于对未来网络服务的基本理解和洞察,并将为未来的监管政策提供指导。此外,通过研究合作和技术转让,我们的技术成果使TELUS及其在加拿大的技术和业务合作伙伴受益,以改善他们的创新组合、系统设计和盈利能力。这将有助于保持他们在全球市场上的竞争优势,造福于所有加拿大人。
英文摘要
With the emergence of data-hungry applications, such as big-data AI, augmented reality, wireless multimedia, and Internet-of-Things (IoT), the current generation of network infrastructure will face severe challenges in its struggle to satisfy the exploding service demands. In order to efficiently allocate the available networking resources among these diverse set of applications, traffic classification has become an essential technology for the optimal operation of a network. Moreover, the ever-changing characteristics of new applications demand a flexible and automatic approach. In response to these challenges, and in collaboration with TELUS, we propose a new research project to develop dynamic machine learning (ML) techniques to classify the network traffic of an Internet service provider (ISP). Our long-term objective is to understand the intersection between ML and networked systems and discover new theories and practical ML-based designed guidelines for ISPs. In the shorter term of this project, we focus on (1) developing scalable ML-based designs for dynamic network traffic classification, and (2) designing resilient ML algorithms for robust network traffic classification. Our scientific discoveries will contribute to the fundamental understanding and insights into future network services, and they will provide guidelines for future regulatory policies. Furthermore, through research collaboration and technology transfer, our technical outcomes benefit TELUS and its technology and business partners in Canada, to improve their innovation portfolio, system design, and profitability. This will help maintain their competitive advantage in the global market for the benefit of all Canadians.
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会议论文
Adaptive Intelligent Wireless Networking with Advanced Communication and Machine Learning Techniques
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批准号:571576-2021
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项目类别:Alliance Grants
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资助金额:$8.64万
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财政年份:2022
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负责人:Liang, BenB
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依托单位:
国内基金
海外基金
丝氨酸/甘氨酸/一碳代谢网络(SGOC metabolic network)调控炎症性巨噬细胞活化及脓毒症病理发生的机制研究
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批准号:81930042
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项目类别:重点项目
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资助金额:305.0万元
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批准年份:2019
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负责人:王迪
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依托单位:
多维在线跨语言Calling Network建模及其在可信国家电子税务软件中的实证应用
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批准号:91418205
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项目类别:重大研究计划
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资助金额:170.0万元
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批准年份:2014
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负责人:郑庆华
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依托单位:
基于Wireless Mesh Network的分布式操作系统研究
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批准号:60673142
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项目类别:面上项目
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资助金额:27.0万元
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批准年份:2006
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负责人:罗惠琼
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依托单位: