Title
Efficient VNF Placement for Poisson Arrived Traffic
Abstract
The emergence of Network Function Virtualization (NFV) and Software Defined Network (SDN) has greatly reformed the network. It is important to reduce the queuing delay spent/observed in NFV servers for the placement of Virtual Network Functions (VNFs). In this work, we mainly focus on the placement of VNFs with Poisson Arrived Traffic (VNFPPAT) to tackle the queuing delay problem. Both the Poisson distribution of traffic flows and various resource-sharing VNFs lead to the prolonged queuing delay in NFV servers with limited processing capacities. Considering the end-to-end delay as our optimization objective, we formulate this problem as a 0-1 quadratic fractional programming problem. This formulation is linearized to obtain the optimal solution for small scale networks. After proving VNFPPAT is NP-hard, we propose heuristic algorithms to obtain sub-optimal placement schemes. Through extensive simulations, we have shown that our proposed algorithms outperform the related state-of-the-art Improve Service Chaining Performance (ISCP) by 72% in terms of the end-to-end delay.
Year
DOI
Venue
2021
10.1109/TNSM.2021.3102583
IEEE Transactions on Network and Service Management
Keywords
DocType
Volume
VNF placement,non-uniform distribution,M/M/1,queuing delay
Journal
18
Issue
ISSN
Citations 
4
1932-4537
1
PageRank 
References 
Authors
0.35
0
6
Name
Order
Citations
PageRank
Jie Sun122.39
Feng Liu243.17
Huandong Wang311414.20
Manzoor Ahmed46911.49
Yong Li52972218.82
Mingyue Liu610.35