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SCIENCE CHINA Information Sciences, Volume 61, Issue 9: 092107(2018) https://doi.org/10.1007/s11432-017-9357-7

Virtual network function scheduling via multilayer encoding geneticalgorithm with distributed bandwidth allocation

More info
  • ReceivedMay 15, 2017
  • AcceptedDec 19, 2017
  • PublishedAug 13, 2018

Abstract

Network function virtualization represents a revolutionary approach to network service deployment. This software-oriented approachfor virtual network functions (VNFs) deployment enables more flexible and dynamic networkservices to meet diversified demands. To minimize the executiontime of all VNFs in service function chains, VNF scheduling must be addressed.In this paper, we improve upon the flexible job-shop model byintroducing the process of bandwidth allocation. First, we propose a multilayer encodinggenetic algorithm to solve the VNF scheduling model. In addition,we design a distributed method for bandwidth allocation based on the Nash bargainingsolution. Finally, by combining the genetic algorithm with distributedbandwidth allocation, we present a heuristic algorithm that solves the VNFscheduling problem in one stage. Using a multilayer encoding geneticalgorithm, we simplify the constraints of the VNF scheduling problem and reduce itstime complexity. At the same time, our Nash game solution refines the granularity of bandwidthallocation to further reduce the transmission delay between VNFs. The effectiveness ofour proposed heuristic algorithm is verified through numerical evaluation. Compared withexisting approaches, our method exhibits shorter scheduling time andreduces CPU time by 45$%$ in simulated scenarios.


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