Reference number : GC-2017-Q1-02768, amendment number : , agreement type : G, recipient legal name : Nguyen, Kim Khoa (École de technologie supérieure), recipient country : CA, recipient province : nan, recipient city : Quebec|Québec, recipient postal code : nan, program name english : Discovery Grants Program - Individual, program name french : Programme de subventions à la découverte - individuelles, program purpose english : 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 &ndash; 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., program purpose french : 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 &ndash; 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., agreement title english : Optimized Orchestration of Massive Next-Generation IoT Applications, agreement title french : Optimized Orchestration of Massive Next-Generation IoT Applications, agreement number : RGPIN, agreement value : 120000.0, agreement start date : 2017-05-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2022-2023), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2022-2023), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada