Subventions et des contributions :

Titre :
Optimized Orchestration of Massive Next-Generation IoT Applications
Numéro de l’entente :
RGPIN
Valeur d'entente :
120 000,00 $
Date d'entente :
10 mai 2017 -
Organisation :
Conseil de recherches en sciences naturelles et en génie du Canada
Location :
Québec, Autre, CA
Numéro de référence :
GC-2017-Q1-02768
Type d'entente :
subvention
Type de rapport :
Subventions et des contributions
Renseignements supplémentaires :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2022-2023)

Nom légal du bénéficiaire :
Nguyen, Kim Khoa (École de technologie supérieure)
Programme :
Programme de subventions à la découverte - individuelles
But du programme :

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.