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Grant: Alliance Grants

École de technologie supérieure

$34,784.00

Serverless edge computing framework to support delivery of data intensive and latency-sensitive applications in a sustainable manner

FY 2023-24

Summary
Edge computing offers flexible on-demand resources and services placed in the proximity of end users and devices to meet performance requirements of a wide range of modern applications (including latency-sensitive and data-intensive applications). With the growth of these applications (e.g., serverless enabled applications), the extensive use of these resources and services is anticipated to grow exponentially and result in high energy consumption. To support this growth and to meet the performance requirements of these applications in a sustainable manner, several challenges still need to be tackled, including the efficient management of the energy consumption and the variability of resources in terms of availability and consumption while integrating the dynamics of the running applications (e.g., volatility of workflows and workloads). Therefore, this project will enable to develop new technologies for dynamic and joint optimization of performances and energy consumption in serverless edge computing platform under time-varying workflows, workloads and resource consumption while meeting the application deployment and management constraints (e.g., resources' configurations, workflows' structures). Moreover, these technologies will allow to adapt resources and their configuration runtime to optimize the resource and energy costs while meeting the performance requirements of running applications. The developed technologies will stimulate rapid Function as a Service (FaaS) edge infrastructure evolution and adoption as well as speed up the time to market for new serverless applications. They will help, the FaaS edge computing providers reducing their OPEX, since they will be able to minimize the FaaS edge computing infrastructure deployment and operational costs (minimize resource and energy consumption, automatic resource deployment and adaptation). Moreover, they will provide green and reliable FaaS edge computing infrastructure and deliver new serverless applications in sustainable manner to customers. These new technologies will enhance FaaS edge computing infrastructure and will have a great impact on the Canadian ICT market with a stronger positioning.
Program
Alliance Grants
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
561771-2021
Name nom
Kara, Nadjia N
Department département
Not available from the selection list **
Organization id
53
Institution établissement
École de technologie supérieure
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2021
Award amount
34784
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2715
Research subject group en
Information technology
Research subject group fr
Optimization
Research subject en
Technologie de l'information
Research subject fr
Optimisation
Application title
Serverless edge computing framework to support delivery of data intensive and latency-sensitive applications in a sustainable manner
Keyword
Articial intelligence; edge computing; energy consumption optimization; resource consumption optimization; resource prediction; Serverless architecture
Application summary
Edge computing offers flexible on-demand resources and services placed in the proximity of end users and devices to meet performance requirements of a wide range of modern applications (including latency-sensitive and data-intensive applications). With the growth of these applications (e.g., serverless enabled applications), the extensive use of these resources and services is anticipated to grow exponentially and result in high energy consumption. To support this growth and to meet the performance requirements of these applications in a sustainable manner, several challenges still need to be tackled, including the efficient management of the energy consumption and the variability of resources in terms of availability and consumption while integrating the dynamics of the running applications (e.g., volatility of workflows and workloads). Therefore, this project will enable to develop new technologies for dynamic and joint optimization of performances and energy consumption in serverless edge computing platform under time-varying workflows, workloads and resource consumption while meeting the application deployment and management constraints (e.g., resources' configurations, workflows' structures). Moreover, these technologies will allow to adapt resources and their configuration runtime to optimize the resource and energy costs while meeting the performance requirements of running applications. The developed technologies will stimulate rapid Function as a Service (FaaS) edge infrastructure evolution and adoption as well as speed up the time to market for new serverless applications. They will help, the FaaS edge computing providers reducing their OPEX, since they will be able to minimize the FaaS edge computing infrastructure deployment and operational costs (minimize resource and energy consumption, automatic resource deployment and adaptation). Moreover, they will provide green and reliable FaaS edge computing infrastructure and deliver new serverless applications in sustainable manner to customers. These new technologies will enhance FaaS edge computing infrastructure and will have a great impact on the Canadian ICT market with a stronger positioning.
École de technologie supérieure - $34,784 Grant (2023… | Canada Spends