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Grant: Collaborative Research and Development Grants

Carleton University

$60,650.00

Resource allocation and QoS control in evolving cloud computing systems

EF 2014-15

Résumé
Cloud computing facilitates on-demand and scalable resource provisioning as services. This is implemented in a ""pay-as-you go"" manner, thus making resources available at all times from anywhere at affordable cost. This networking/service paradigm has gained considerable growth lately and is expected to be dominant in the future. Therefore, it is a rich area not only for academic research, but also an area of crucial importance for product/service development by Internet service/telecom providers. Cloud providers have to offer scalability along with reliable resources and services. To that end, Service Level Agreements (SLAs) state usage terms and penalties in case of performance violations. Provisioning of resources both at the computing as well as routing and service request scheduling levels should be performed in an ""elastic"" and scalable fashion. SLAs are constantly monitored with a goal to minimize performance violations while at the same time maximize user satisfaction and cloud provider revenue. Resource allocation and quality of service control and monitoring has been an active area of research in traditional data networks. However, the (geographically) distributed and diverse (in terms of service offered) nature of the ""cloud"" may be challenging to implement using traditional networking paradigms. Software Defined Networking (SDN) can contribute towards efficient, robust and readily reconfigurable cloud data centres. The goal of the proposal is to investigate present and evolving networking practices and their application for the advancement of next generation cloud computing systems and services.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
461039-2013
Name nom
Lambadaris, Ioannis
Department département
Systems and Computer Engineering
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2013
Award amount
60650
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
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
2513
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Data communications
Research subject fr
Transmission des données
Partie
1
Nb partie
2
Application title
Resource allocation and QoS control in evolving cloud computing systems
Keyword
NSERC
Application summary
Cloud computing facilitates on-demand and scalable resource provisioning as services. This is implemented in a ""pay-as-you go"" manner, thus making resources available at all times from anywhere at affordable cost. This networking/service paradigm has gained considerable growth lately and is expected to be dominant in the future. Therefore, it is a rich area not only for academic research, but also an area of crucial importance for product/service development by Internet service/telecom providers. Cloud providers have to offer scalability along with reliable resources and services. To that end, Service Level Agreements (SLAs) state usage terms and penalties in case of performance violations. Provisioning of resources both at the computing as well as routing and service request scheduling levels should be performed in an ""elastic"" and scalable fashion. SLAs are constantly monitored with a goal to minimize performance violations while at the same time maximize user satisfaction and cloud provider revenue. Resource allocation and quality of service control and monitoring has been an active area of research in traditional data networks. However, the (geographically) distributed and diverse (in terms of service offered) nature of the ""cloud"" may be challenging to implement using traditional networking paradigms. Software Defined Networking (SDN) can contribute towards efficient, robust and readily reconfigurable cloud data centres. The goal of the proposal is to investigate present and evolving networking practices and their application for the advancement of next generation cloud computing systems and services.