Title
Efficient Virtual Network Function Placement for Poisson Arrived Traffic
Abstract
Network Function Virtualization (NFV) and Software Defined Network have revolutionized data networks. For deployment of the VNFs, it is imperative to consider the queuing delay occurring in the NFV servers. The presented work suggests to incorporate the Poisson distribution of packet arrival rate and packet size along with the limited processing capacity of NFV server. The underlying phenomenon is framed as a 0-1 fractional programming problem. More precisely, the underlying problem is framed to 0-1 MILP to get the optimal solution. Since the VNF placement problem is NP-hard, therefore, we propose two heuristic algorithms to get the solution. Extensive simulations demonstrate that our algorithms effectively reduce 72.9% delay compared with the universal algorithm Improve Service Chaining Performance (ISCP).
Year
DOI
Venue
2019
10.1109/ICC.2019.8761609
IEEE International Conference on Communications
Field
DocType
ISSN
Virtual network,Heuristic,Chaining,Computer science,Queuing delay,Server,Network packet,Computer network,Software-defined networking,Fractional programming
Conference
1550-3607
Citations 
PageRank 
References 
1
0.34
0
Authors
4
Name
Order
Citations
PageRank
Jie Sun122.39
Feng Liu243.17
Manzoor Ahmed36911.49
Yong Li42972218.82