Reference number : GC-2017-Q3-00524, amendment number : , agreement type : G, recipient legal name : Lung, Chung-Horng (Carleton University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Network Functions Virtualization (NFV) along with the Network Service Chaining (SC) paradigm have_x000D_
changed the way that network functions and services are deployed in the underlying network infrastructure._x000D_
Network functions are now decoupled from dedicated middleboxes and can be offered as software entities_x000D_
called Virtualized Network Functions (VNFs) that can be instantiated in industry standard servers, while_x000D_
complete network services can be provided by deploying a series of VNFs creating a Service Chain model._x000D_
This deployment model has led the Service Providers (SPs) to offer highly specialized services tailored to the_x000D_
needs of end users reducing at the same time the overall capital and operational expenses. Total cost reductions_x000D_
however are typically a function of the throughput performance achieved. Hence, the goal of this proposal is to_x000D_
leverage the capabilities of industry standard servers and enhance their performance when hosting VNFs to_x000D_
meet the high efficacy of the dedicated hardware appliances and minimize the overall deployment cost. The_x000D_
benefits of addressing this problem are the following: a) promote a "green" architecture by minimizing power_x000D_
consumption using less hardware resources, b) reduce deployment cost by installing multiple network functions_x000D_
on the same server c) increase the velocity of Time to Market minimizing the typical network operator cycle of_x000D_
innovation to offer new services, d) provide network services to multiple users regardless their geographical_x000D_
location by using NFV in conjunction with the Cloud Computing and Software Defined Networking (SDN)_x000D_
technologies e) optimize the network configuration in real time by appropriately scaling up/down the services_x000D_
according to the users' requirements. To this end, appropriate allocation algorithms will be proposed to optimal_x000D_
deploy the VNFs of a Service Chain in a pool of standard off the shelf servers, with the goal to minimize the_x000D_
overall deployment cost while maximizing the achieved throughput performance., program purpose french : Network Functions Virtualization (NFV) along with the Network Service Chaining (SC) paradigm have_x000D_
changed the way that network functions and services are deployed in the underlying network infrastructure._x000D_
Network functions are now decoupled from dedicated middleboxes and can be offered as software entities_x000D_
called Virtualized Network Functions (VNFs) that can be instantiated in industry standard servers, while_x000D_
complete network services can be provided by deploying a series of VNFs creating a Service Chain model._x000D_
This deployment model has led the Service Providers (SPs) to offer highly specialized services tailored to the_x000D_
needs of end users reducing at the same time the overall capital and operational expenses. Total cost reductions_x000D_
however are typically a function of the throughput performance achieved. Hence, the goal of this proposal is to_x000D_
leverage the capabilities of industry standard servers and enhance their performance when hosting VNFs to_x000D_
meet the high efficacy of the dedicated hardware appliances and minimize the overall deployment cost. The_x000D_
benefits of addressing this problem are the following: a) promote a "green" architecture by minimizing power_x000D_
consumption using less hardware resources, b) reduce deployment cost by installing multiple network functions_x000D_
on the same server c) increase the velocity of Time to Market minimizing the typical network operator cycle of_x000D_
innovation to offer new services, d) provide network services to multiple users regardless their geographical_x000D_
location by using NFV in conjunction with the Cloud Computing and Software Defined Networking (SDN)_x000D_
technologies e) optimize the network configuration in real time by appropriately scaling up/down the services_x000D_
according to the users' requirements. To this end, appropriate allocation algorithms will be proposed to optimal_x000D_
deploy the VNFs of a Service Chain in a pool of standard off the shelf servers, with the goal to minimize the_x000D_
overall deployment cost while maximizing the achieved throughput performance., agreement title english : Network Function Virtualization: Placement and Performance Optimization, agreement title french : Network Function Virtualization: Placement and Performance Optimization, agreement number : EGP, agreement value : 24750.0, agreement start date : 2017-12-13, 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 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., 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