Grant: Alliance Grants
University of Waterloo
$137,500.00
Architectural alternatives for edge computing in the 5G ecosystem
FY 2023-24
Summary
The fifth generation (5G) technology standard for broadband cellular networks promises unprecedentedthroughput capacity of radio-based cellular networks coupled with highly flexible and software-focuseddeployment options for control plane components. This flexibility is expected to reduce end-to-endcommunication delays and support a novel compute pattern termed edge computing. There is a plethora ofinteresting application areas that will likely see significant advances resulting from 5G networking, such assensor fusion, industry automation, and autonomous vehicle control. This research project will help solve thechicken-and-egg problem between platform details and application design that is inherent to manygroundbreaking technology developments. We will canvass application developers to understand patterns inapplication design and systematically build general workload models. These workload models can be used tobuild performance testing software systems that will be used to assess development platform technologies, theresults of which will feed back into application design. Overall, the knowledge gained in this project will helptelecommunication operators, platform vendors, and application designers to build more efficient and effectiveservices.
Program
Alliance Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
561423-2020
Name nom
Karsten, Martin M
Department département
Computer Science, David R. Cheriton School of
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2020
Award amount
137500
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
804
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communication systems and services (planning, organization, services)
Area of application fr
Systèmes et services de communications (planification, organisation et services)
Research subject code
2704
Research subject group en
Information technology
Research subject group fr
Distributed and parallel processing
Research subject en
Technologie de l'information
Research subject fr
Traitement réparti et simultané
Application title
Architectural alternatives for edge computing in the 5G ecosystem
Keyword
5G; Benchmarking; Cloud Systems; Mobile Applications; Multi-Access Edge Computing (MEC); Performance Modelling
Application summary
The fifth generation (5G) technology standard for broadband cellular networks promises unprecedentedthroughput capacity of radio-based cellular networks coupled with highly flexible and software-focuseddeployment options for control plane components. This flexibility is expected to reduce end-to-endcommunication delays and support a novel compute pattern termed edge computing. There is a plethora ofinteresting application areas that will likely see significant advances resulting from 5G networking, such assensor fusion, industry automation, and autonomous vehicle control. This research project will help solve thechicken-and-egg problem between platform details and application design that is inherent to manygroundbreaking technology developments. We will canvass application developers to understand patterns inapplication design and systematically build general workload models. These workload models can be used tobuild performance testing software systems that will be used to assess development platform technologies, theresults of which will feed back into application design. Overall, the knowledge gained in this project will helptelecommunication operators, platform vendors, and application designers to build more efficient and effectiveservices.
