Abstract
As the limited processing power and energy of mobile terminals, the QoS of delay-sensitive service cannot be guaranteed. This paper proposes an SDN-based task caching and offloading strategy (SD-TCO) by mobile edge computing technology. The strategy mainly includes two algorithms: SDN-based mobile edge computing network (SD-MEN) task caching algorithm and branch-bounding algorithm based on greedy strategy. The SD-MEN task caching algorithm is used to increase the cache hit ratio by saving the frequently called task results on the edge server, and the branch-bounding algorithm based on greedy strategy is used to offload the task reasonably, which can ensure the QoS of users and minimize energy consumption. Simulation results show that SD-TCO has achieved effective improvement in stable delay and energy consumption.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Meng, S., Wang, Y., Miao, Z., Sun, K.: Joint optimization of wireless bandwidth and computing resource in cloudlet-based mobile cloud computing environment. Peer-to-Peer Netw. Appl., 1–11 (2017)
Barbera, M., Kosta, S., Mei, A., Stefa, J.: To offload or not to offload? The bandwidth and energy costs of mobile cloud computing. In: Proceedings of IEEE INFOCOM, pp. 1285–1293, April 2013
Hou, X., Li, Y., Chen, M., Wu, D., Jin, D., Chen, S.: Vehicular fog computing: a viewpoint of vehicles as the infrastructures. IEEE Trans. Veh. Technol. 65(6), 3860–3873 (2016)
Wang, X., Wang, H., Li, K., Yang, S., Jiang, T.: Serendipity of sharing: Large-scale measurement and analytics for device-to-device (D2D) content sharing in mobile social networks. In: Proceedings of IEEESECON, SanDiego, CA, USA, pp. 1–5, June 2017. https://doi.org/10.1109/sahcn.2017.7964925
Chen, X., Jiao, L., Li, W., Fu, X.: Efficient multi-user computation offloading for mobile-edge cloud computing. IEEE/ACM Trans. Netw. 24(5), 2795–2808 (2016)
Tan, Z., Yu, F.R., Li, X., Ji, H., Leung, V.C.M.: Virtual resource allocation for heterogeneous services in full duplex-enabled SCNs with mobile edge computing and caching. IEEE Trans. Veh. Technol. PP(99), 1 (2017)
Hao, Y., Chen, M., Hu, L., Hossain, M.S., Ghoneim, A.: Energy efficient task caching and offloading for mobile edge computing. IEEE Access 6, 11365–11373 (2018). https://doi.org/10.1109/ACCESS.2018.2805798
Li, G., Liu, Y., Wang, Y.: Evaluation of labelling layout methods in augmented reality. In: 2017 IEEE Virtual Reality (VR), Los Angeles, CA, 2017, pp. 351–352 (2017). https://doi.org/10.1109/vr.2017.7892321
Loh, K.H., Golden, B., Wasil, E.: Solving the maximum cardinality bin packing problem with a weight annealing-based algorithm. In: Operations Research and Cyber-Infrastructure, vol. 47, pp. 147–164 (2009)
Acknowledgment
This work was supported by State Grid Technology Project ‘Edge Computing Research in Smart Grid Application and Security’ (Grant: 52110118001H, Contract No: 52110418001B).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Chen, Q., Liu, Z., Ruan, L., Wang, Z., Shao, S., Qi, F. (2020). Energy-Efficient Task Caching and Offloading Strategy in Mobile Edge Computing Systems. In: Yang, CN., Peng, SL., Jain, L. (eds) Security with Intelligent Computing and Big-data Services. SICBS 2018. Advances in Intelligent Systems and Computing, vol 895. Springer, Cham. https://doi.org/10.1007/978-3-030-16946-6_67
Download citation
DOI: https://doi.org/10.1007/978-3-030-16946-6_67
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-16945-9
Online ISBN: 978-3-030-16946-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)