Energy-aware scheduling in edge computing with a clustering method
Tài liệu tham khảo
Zhang, 2019, Deep learning empowered task offloading for mobile edge computing in urban informatics, IEEE Internet Things J.
El Haber, 2019, Joint optimization of computational cost and devices energy for task offloading in multi-tier edge-clouds, IEEE Trans. Commun., 67, 3407, 10.1109/TCOMM.2019.2895040
Kiran, 2019, Joint resource allocation and computation offloading in mobile edge computing for SDN based wireless networks, J. Commun. Netw.
Ning, 2019, Mobile edge computing-enabled Internet of Vehicles: Toward energy-efficient scheduling, IEEE Netw., 33, 198, 10.1109/MNET.2019.1800309
Wan, 2019, Cognitive computing and wireless communications on the edge for healthcare service robots, Comput. Commun.
Morabito, 2018, Consolidate IoT edge computing with lightweight virtualization, IEEE Netw., 32, 102, 10.1109/MNET.2018.1700175
Sardellitti, 2015, Joint optimization of radio and computational resources for multicell mobile-edge computing, IEEE Trans. Signal Inf. Process. Over Netw., 1, 89, 10.1109/TSIPN.2015.2448520
Mach, 2017, Mobile edge computing: A survey on architecture and computation offloading, IEEE Commun. Surv. Tutor., 19, 1628, 10.1109/COMST.2017.2682318
Mach, 2017, Mobile edge computing: A survey on architecture and computation offloading, IEEE Commun. Surv. Tutor., 19, 1628, 10.1109/COMST.2017.2682318
Zhang, 2016, Energy-efficient offloading for mobile edge computing in 5G heterogeneous networks, IEEE Access, 4, 5896, 10.1109/ACCESS.2016.2597169
Wang, 2016, Mobile-edge computing: Partial computation offloading using dynamic voltage scaling, IEEE Trans. Commun., 64, 4268
Mach, 2017, Mobile edge computing: A survey on architecture and computation offloading, IEEE Commun. Surv. Tutor., 19, 1628, 10.1109/COMST.2017.2682318
Mavromoustakis, 2019, A mobile edge computing model enabling efficient computation offload-aware energy conservation, IEEE Access, 7, 10.1109/ACCESS.2019.2931362
Jeong, 2019, Lightweight offloading system for mobile edge computing, 451
Samanta, 2019, Adaptive service offloading for revenue maximization in mobile edge computing with delay-constraint, IEEE Internet Things J., 6, 3864, 10.1109/JIOT.2019.2892398
H. Zhang, S. Zhao, A. Pattnaik, et al. Distilling the essence of raw video to reduce memory usage and energy at edge devices, in: Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019, pp. 657–669.
Sun, 2019, Joint offloading and computation energy efficiency maximization in a mobile edge computing system, IEEE Trans. Veh. Technol., 68, 3052
Chen, 2019, TOFFEE: Task offloading and frequency scaling for energy efficiency of mobile devices in mobile edge computing, IEEE Trans. Cloud Comput.
Saxena, 2017, A review of clustering techniques and developments, Neurocomputing, 267, 664, 10.1016/j.neucom.2017.06.053
Wang, 2020, A systematic density-based clustering method using anchor points, Neurocomputing, 400
Wang, 2020, Extreme clustering - a clustering method via density extreme points, Information ences
Chang, 2020, K-clustering methods for investigating social-environmental and natural-environmental features based on air quality index, 28
Feng, 2021, Performance analysis of fuzzy BLS using different cluster methods for classification, Sci. China, 64
Ertuğrul, 2020, A novel clustering method built on random weight artificial neural networks and differential evolution, Soft Comput., 24, 12067, 10.1007/s00500-019-04647-3
Mahmoudi, 2020, Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries, Chaos Solitons Fractals, 140, 10.1016/j.chaos.2020.110230
Ryu, 2019, An effective clustering method over CF+ tree using multiple range queries, IEEE Trans. Knowl. Data Eng., PP, 1
Yang, 2019, Efficient resource allocation for mobile-edge computing networks with NOMA: Completion time and energy minimization, IEEE Trans. Commun., 67, 7771, 10.1109/TCOMM.2019.2935717
Abbas, 2017, Mobile edge computing: A survey, IEEE Internet Things J., 5, 450, 10.1109/JIOT.2017.2750180
Garcia Lopez, 2015, Edge-centric computing: Vision and challenges, ACM SIGCOMM Comput. Commun. Rev., 45, 37, 10.1145/2831347.2831354
Zhang, 2018, Energy-delay tradeoff for dynamic offloading in mobile-edge computing system with energy harvesting devices, IEEE Trans. Ind. Inf., 14, 4642, 10.1109/TII.2018.2843365
Guo, 2018, Joint load management and resource allocation in the energy harvesting powered small cell networks with mobile edge computing, 299
Joshi, 2016, Network function virtualization, IEEE Internet Comput., 20, 7, 10.1109/MIC.2016.112
Gu, 2019, Energy efficient task allocation and energy scheduling in green energy powered edge computing, Future Gener. Comput. Syst., 95, 89, 10.1016/j.future.2018.12.062