Optimal planning of virtual content delivery networks under uncertain traffic demands

Abstract

Content Delivery Networks (CDNs) have been identified as one of the relevant use cases where the emerging paradigm of Network Functions Virtualization (NFV) will likely be beneficial. In fact, virtualization fosters flexibility, since on-demand resource allocation of virtual CDN nodes can accommodate sudden traffic demand changes. However, there are cases where physical appliances should still be preferred, therefore we envision a mixed architecture in between these two solutions, capable to exploit the advantages of both of them. Motivated by these reasons, in this paper we formulate a two-stage stochastic planning model that can be used by CDN operators to compute the optimal long-term network planning decision, deploying physical CDN appliances in the network and/or leasing resources for virtual CDN nodes in data centers. Key findings demonstrate that for a large range of pricing options and traffic profiles, NFV can significantly save network costs spent by the operator to provide the content distribution service

Innovation Mechanism of Traffic Demand Management

“…In order to solve this problem, Domestic and international scholars have carried out a lot of research. Practice shows that traffic demand management [1][2][3] is an effective way to solve urban traffic congestion. Due to the effects of social and economic development, population quality, scientific and technological level and other factors, the existing traffic demand management systems are lack of effective coordination and management.…”