Abstract
Network function virtualization (NFV) emerges as a promising technology to increase the network flexibility, customizability, and efficiency by softwarizing traditional dedicated hardware based functions to virtualized network functions. The prosperous potential of edge cloud makes it an ideal platform to host the network functions. From the perspective of network service providers, an inevitable concern is how to reduce the overall cost for renting various resources from infrastructure providers. This first relates to the virtualized network function (VNF) placement, which shall not be discussed independently without the consideration of flow scheduling. In this chapter, we first discuss a static VNF placement problem with preknown service request rate. Then, we consider a more practical scenario and we alternatively investigate how to dynamically minimize the overall operational cost with joint consideration of packet scheduling, network function management, and resource allocation, without any prior knowledge.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
References
Bernardetta Addis, Dallal Belabed, Mathieu Bouet, and Stefano Secci. Virtual Network Functions Placement and Routing Optimization. In Proceedings of the 4th International Conference on Cloud Networking (CloudNet), pages 171–177. IEEE, 2015.
R. Cohen, L. Lewin-Eytan, J. S. Naor, and D. Raz. Near optimal placement of virtual network functions. In 2015 IEEE Conference on Computer Communications (INFOCOM), pages 1346–1354, April 2015.
Apostolos Destounis, Georgios S. Paschos, and Iordanis Koutsopoulos. Streaming Big Data meets Backpressure in Distributed Network Computation. page 24, jan 2016.
Huawei Huang, Song Guo, Jinsong Wu, and Jie Li. Service Chaining for Hybrid Network Function. IEEE Transactions on Cloud Computing, 2017.
Huawei Huang, Peng Li, Song Guo, Weifa Liang, and Kun Wang. Near-Optimal Deployment of Service Chains by Exploiting Correlations between Network Functions. IEEE Transactions on Cloud Computing, 2017.
Wolfgang John, Konstantinos Pentikousis, George Agapiou, Eduardo Jacob, Mario Kind, Antonio Manzalini, Fulvio Risso, Dimitri Staessens, Rebecca Steinert, and Catalin Meirosu. Research directions in Network Service Chaining. In SDN4FNS 2013 – 2013 Workshop on Software Defined Networks for Future Networks and Services, 2013.
Joao Martins, Mohamed Ahmed, Costin Raiciu, Vladimir Olteanu, Michio Honda, Roberto Bifulco, and Felipe Huici. Clickos and the art of network function virtualization. In Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation, pages 459–473. USENIX Association, 2014.
Sevil Mehraghdam, Matthias Keller, and Holger Karl. Specifying and Placing Chains of Virtual Network Functions. In Proceedings of the 3rd International Conference on Cloud Networking (CloudNet), pages 7–13. IEEE, 2014.
Hendrik Moens and Filip De Turck. VNF-P: A Model for Efficient Placement of Virtualized Network Functions. In Proceedings of the 10th International Conference on Network and Service Management (CNSM), pages 418–423. IEEE, 2014.
Michael J. Neely. Opportunistic scheduling with worst case delay guarantees in single and multi-hop networks. In 2011 Proceedings IEEE INFOCOM, pages 1728–1736. IEEE, apr 2011.
Yipei Niu, Bin Luo, Fangming Liu, Jiangchuan Liu, and Bo Li. When hybrid cloud meets flash crowd: Towards cost-effective service provisioning. In 2015 IEEE Conference on Computer Communications (INFOCOM), pages 1044–1052. IEEE, apr 2015.
Mathew Ryden, Kwangsung Oh, Abhishek Chandra, and Jon Weissman. Nebula: Distributed Edge Cloud for Data Intensive Computing. In 2014 IEEE International Conference on Cloud Engineering, pages 57–66. IEEE, mar 2014.
Navindra Yadav, Jim Guichard, Brad McConnell, Christian Jacquenet, Michael Smith, Abhishek Chauhan, Mohamed Boucadair, Paul Quinn, Rajeev Manur, Tom Nadeau, and Others. Network Service Chaining Problem Statement. Network, 2013.
Deze Zeng, Lin Gu, Song Guo, Zixue Cheng, and Shui Yu. Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System. IEEE Transactions on Computers, 65(12):3702–3712, 2016.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2020 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Zeng, D., Gu, L., Pan, S., Guo, S. (2020). Software Defined Networking II: NFV. In: Software Defined Systems. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-32942-6_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-32942-6_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32941-9
Online ISBN: 978-3-030-32942-6
eBook Packages: Computer ScienceComputer Science (R0)