Abstract
Network Function Virtualization (NFV) and Edge Computing have become key technologies to support flexible scheduling of resources and guarantee service QoS in IoT-based smart grid. Network operators provide users with low-latency, highly reliable network services by placing an ordered set of Virtual Network Functions (VNFs) in edges cloud network. Due to the chaining nature and distributed placement, the failure of a single VNF will directly affect the normal operation of the service. But the existing redundancy backup scheme ignores the QoS requirements and resource sharing. In this paper, we propose a reliability-based and QoS-aware service redundancy backup method in edge clouds. The algorithm considers the sharing of backup network functions and the QoS requirements of services, and maximizes the cost of sharing resources while selecting the backup solution with the delay and reliability. Simulation experiments show that our algorithm can get a backup solution in a shorter time, and greatly reduce the cost while meeting the QoS requirements of the service.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zhen, Y., Zeng, L., Chen, X., Li, X., Liu, J.: Study of architecture of power Internet of Things. In: IET International Conference on Communication Technology and Application (ICCTA 2011), Beijing, pp. 718–722 (2011)
Chen, M., et al.: Wearable 2.0: enable human-cloud integration in next generation healthcare system. IEEE Commun. Mag. 55(1), 54–61 (2017)
Afolabi, I., Taleb, T., Samdanis, K., Ksentini, A., Flinck, H.: Network slicing & softwarization: a survey on principles, enabling technologies & solutions. IEEE Commun. Surv. Tutor. 20, 2429–2453 (2018)
Kaur, J., Kaur, K.: A fuzzy approach for an IoT-based automated employee performance appraisal. CMC: Comput. Mater. Continua 53(1), 23–36 (2017)
Shi, C.: A novel ensemble learning algorithm based on D-S evidence theory for IoT security. CMC: Comput. Mater. Continua 57(3), 635–652 (2018)
Foukas, X., Patounas, G., Elmokashfi, A., Marina, M.K.: Network slicing in 5G: survey and challenges. IEEE Commun. Mag. 55(5), 94–100 (2017)
Kaloxylos, A.: A survey and an analysis of network slicing in 5G networks. IEEE Commun. Stand. Mag. 2(1), 60–65 (2018)
Ordonez-Lucena, J., Ameigeiras, P., Lopez, D., Ramos-Munoz, J.J., Lorca, J., Folgueira, J.: Network slicing for 5G with SDN/NFV: concepts, architectures, and challenges. IEEE Commun. Mag. 55(5), 80–87 (2017)
Hao, Y., Tian, D., Fortino, G., Zhang, J., Humar, I.: Network slicing technology in a 5G wearable network. IEEE Commun. Stand. Mag. 2(1), 66–71 (2018)
Wang, G., Feng, G., Tan, W., Qin, S., Wen, R., Sun, S.: Resource allocation for network slices in 5G with network resource pricing. In: 2017 IEEE Global Communications Conference, GLOBECOM 2017, Singapore, pp. 1–6 (2017)
Guerzoni, R., Despotovic, Z., Trivisonno, R., Vaishnavi, I.: Modeling reliability requirements in coordinated node and link mapping. In: 2014 IEEE 33rd International Symposium on Reliable Distributed Systems, Nara, pp. 321–330 (2014)
Huin, N., Jaumard, B., Giroire, F.: Optimization of network service chain provisioning. In: 2017 IEEE International Conference on Communi-cations (ICC), Paris, pp. 1–7 (2017)
Ayoubi, S., Zhang, Y., Assi, C.: RAS: reliable auto-scaling of virtual machines in multi-tenant cloud networks. In: 2015 IEEE 4th International Conference on Cloud Networking (CloudNet), Niagara Falls, ON, pp. 1–6 (2015)
Ding, W., Yu, H., Luo, S.: Enhancing the reliability of services in NFV with the cost-efficient redundancy scheme. In: 2017 IEEE International Conference on Communications (ICC), Paris, pp. 1–6 (2017)
Acknowledgments
This paper is supported by research on ubiquitous business communication technology and service mode in smart grid distribution and consumption network-Topic 2: Development on smart grid distribution and consumption network communication terminal with high adaptability (GDKJXM20172919).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Luo, Y., Luo, Y., Ye, X., Lu, J., Li, S. (2019). Reliability-Based and QoS-Aware Service Redundancy Backup Method in IoT-Based Smart Grid. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11635. Springer, Cham. https://doi.org/10.1007/978-3-030-24268-8_54
Download citation
DOI: https://doi.org/10.1007/978-3-030-24268-8_54
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24267-1
Online ISBN: 978-3-030-24268-8
eBook Packages: Computer ScienceComputer Science (R0)