Grant: Collaborative Research and Development Grants
Concordia University
$43,478.00
Edge computing for content delivery networks
EF 2019-20
Résumé
Edge computing enables data processing at the edge of the network. It encompasses 3 main concepts: cloudlets, multi-access edge computing (MEC), and fog computing. Cloudlets are resource rich-servers or clusters of servers located in single hop proximity of mobile devices. MEC provides cloud computing capabilities at the edges of networks with a focus on mobile networks. Fog computing is an extension of the cloud from the core to the edge of networks. Two key benefits are expected from edge computing: latency reduction and provisioning of new services and applications. Content Delivery Networks (CDNs) consist of a collection of Web servers distributed over multiple locations to transparently and effectively deliver rcontent to end-users with the required Quality of Experience (QoE). They were traditionally provisioned with static Web technologies but are now more and more often provisioned with modern technologies such as cloud computing. However latency still remains a key roadblock and the introduction of new services and applications (especially the ones which rely on information available solely at the edge) is still an uphill task. This project aims at bringing the benefits of edge computing to the CDN world. We will propose and validate architectures and algorithms which will enable latency reduction and easy introduction of new services and applications in CDNs.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
519887-2017
Name nom
Glitho, Roch
Department département
Concordia Institute for Information Systems Engineering (CIISE)
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2017
Award amount
43478
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
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
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Installment
inst:2 - 2
Partie
2
Nb partie
2
Application title
Edge computing for content delivery networks
Keyword
NSERC
Application summary
Edge computing enables data processing at the edge of the network. It encompasses 3 main concepts: cloudlets, multi-access edge computing (MEC), and fog computing. Cloudlets are resource rich-servers or clusters of servers located in single hop proximity of mobile devices. MEC provides cloud computing capabilities at the edges of networks with a focus on mobile networks. Fog computing is an extension of the cloud from the core to the edge of networks. Two key benefits are expected from edge computing: latency reduction and provisioning of new services and applications. Content Delivery Networks (CDNs) consist of a collection of Web servers distributed over multiple locations to transparently and effectively deliver rcontent to end-users with the required Quality of Experience (QoE). They were traditionally provisioned with static Web technologies but are now more and more often provisioned with modern technologies such as cloud computing. However latency still remains a key roadblock and the introduction of new services and applications (especially the ones which rely on information available solely at the edge) is still an uphill task. This project aims at bringing the benefits of edge computing to the CDN world. We will propose and validate architectures and algorithms which will enable latency reduction and easy introduction of new services and applications in CDNs.