Algorithmic Studies of Network Function Virtualization Systems: Dynamic VNF Deployment, Scaling and Pricing
Grant Data
Project Title
Algorithmic Studies of Network Function Virtualization Systems: Dynamic VNF Deployment, Scaling and Pricing
Principal Investigator
Professor Wu, Chuan
(Principal Investigator (PI))
Duration
42
Start Date
2017-01-01
Amount
675647
Conference Title
Algorithmic Studies of Network Function Virtualization Systems: Dynamic VNF Deployment, Scaling and Pricing
Presentation Title
Keywords
Mechanism Design, Online algorithms, Optimization, Virtual Network Functions
Discipline
Network
Panel
Engineering (E)
HKU Project Code
17225516
Grant Type
General Research Fund (GRF)
Funding Year
2016
Status
Completed
Objectives
1) [VNF Service Chain Deployment and Scaling in One Datacenter]: To model an optimization framework for scaling single and multiple service chains within one datacenter, and to design efficient online algorithms for cost minimization; 2) [VNF Service Chain Deployment and Scaling across Geo-distributed Datacenters]: To model an optimization framework for scaling multiple service chains across geo-distributed datacenters, and to design efficient online algorithms for cost minimization and delay guarantee; 3) [Pricing VNF Service Chains via Auctions]: To design online auction mechanisms for service chain pricing in the NFV marketplace; 4) [Implementation and Evaluation]: To implement a WAN-based NFV testbed and evaluate our algorithms and mechanisms in practical settings.