Optimized Orchestration of Massive Next-Generation IoT Applications
Optimized Orchestration of Massive Next-Generation IoT Applications
批准号:
RGPIN-2017-05626
负责人:
Nguyen, KimKhoa
金额:
$1.75万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31
中文摘要
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英文摘要
New standards recently set by 5G communications that many Internet of Things (IoT) applications are expected to follow, namely, massive throughput, massive low latency, massive sensing, massive energy efficiency, massive safety and security, and massive fractal heterogeneity, have driven new research on integrated platforms. Creating, deploying, and orchestrating applications across this multi-tenant, multi-service, and multi-speed ecosystem is very challenging because of the variety of diverse technologies, incompatible protocols, heterogeneous user profiles, and particularly the millisecond latency requirement of 5G applications. Also, new green technologies are required to offset the explosive increase of energy consumption of massive demands.******The convergence of five enabling technologies - cloud computing, 5G, software-defined networking (SDN), network function virtualization (NFV), machine-to-machine (M2M) communication, and big data/machine learning – will provide an opportunity to create IoT application platforms that offer unprecedented technical capabilities, scalability, energy efficiency, security, flexibility, and economics. The combination of these technologies, holistically investigated in this research, enables next-generation applications that are both context and environment aware. The goal of this research is to discover the potentials and push the boundaries of real-time optimization, dynamic resource allocation, and data transmission paradigms to meet new requirements of massive next-generation IoT applications, both in terms of quality and environmental emissions.******Our research program will create new virtualization, routing and scheduling algorithms, optimization models, cognitive decisions, and computational game theory to orchestrate a platform for massive IoT applications at scale. In particular, this research will underpin two of the most challenging realms in the field: i) seamlessly migrating services to the edge in real-time through long distances, and virtually breaking the speed of light to achieve millisecond latency, and ii) real-time orchestration of unprecedented number of smart objects (order of billions) in vast forms of relationships and connections, as well as a multitude of temporal, spatial, economic, and environmental requirements.******The impact of this research will be significant, both in terms of fundamental methodologies and advancement of novel technologies. It empowers knowledge enhancement through emerging theoretical models delivered with consistent practical experiences and enabled by sustainable use-cases. The platform, models, and paradigms resulting from this research will serve as the leading force in the development of next-generation IoT applications to unlock vast innovations in our networked-society and sustain economic growth and a high quality of life.
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Optimized Orchestration of Massive Next-Generation IoT Applications
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批准号:RGPIN-2017-05626
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2022
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负责人:Nguyen, KimKhoa
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依托单位:
Optimized Orchestration of Massive Next-Generation IoT Applications
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批准号:RGPIN-2017-05626
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2021
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负责人:Nguyen, KimKhoa
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依托单位:
Optimized Orchestration of Massive Next-Generation IoT Applications
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批准号:RGPIN-2017-05626
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2020
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负责人:Nguyen, KimKhoa
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依托单位:
Optimized Orchestration of Massive Next-Generation IoT Applications
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批准号:RGPIN-2017-05626
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2019
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负责人:Nguyen, KimKhoa
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依托单位:
Traffic-aware Carrier-Grade WiFi SON
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批准号:521186-2017
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项目类别:Engage Grants Program
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资助金额:$1.82万
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财政年份:2017
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负责人:Nguyen, KimKhoa
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依托单位:
Optimized Orchestration of Massive Next-Generation IoT Applications
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批准号:RGPIN-2017-05626
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2017
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负责人:Nguyen, KimKhoa
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依托单位:
海外基金