Efficient deep-reinforcement learning aware resource allocation in SDN-enabled fog paradigm

[1]  Junlong Zhou,et al.  Blockchain for consortium: A practical paradigm in agricultural supply chain system , 2021, Expert Syst. Appl..

[2]  Sergei A. Kozlov,et al.  Mobile‐fog‐cloud assisted deep reinforcement learning and blockchain‐enable IoMT system for healthcare workflows , 2021, Transactions on Emerging Telecommunications Technologies.

[3]  Md. Razaul Karim,et al.  SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic , 2021, Cluster Computing.

[4]  Chinmay Chakraborty,et al.  Deterministic cooperative hybrid ring-mesh network coding for big data transmission over lossy channels in 5G networks , 2021, EURASIP Journal on Wireless Communications and Networking.

[5]  Khaled Riad,et al.  Efficient IoT-Based Control for a Smart Subsurface Irrigation System to Enhance Irrigation Management of Date Palm , 2021, Sensors.

[6]  Tahir Mahmood,et al.  Spherical fuzzy Dombi aggregation operators and their application in group decision making problems , 2020, J. Ambient Intell. Humaniz. Comput..

[7]  D. Raja,et al.  Dynamic modeling and control of five phase SVPWM inverter fed induction motor drive with intelligent speed controller , 2020 .

[8]  Debashis De,et al.  Entropy-aware ambient IoT analytics on humanized music information fusion , 2019, Journal of Ambient Intelligence and Humanized Computing.

[9]  Cheng Zhang,et al.  Task migration for mobile edge computing using deep reinforcement learning , 2019, Future Gener. Comput. Syst..

[10]  Xiaoping Li,et al.  Transient fault aware application partitioning computational offloading algorithm in microservices based mobile cloudlet networks , 2019, Computing.

[11]  Youlong Luo,et al.  Collaborative cache allocation and task scheduling for data-intensive applications in edge computing environment , 2019, Future Gener. Comput. Syst..

[12]  Xiaoping Li,et al.  Mobility and Fault Aware Adaptive Task Offloading in Heterogeneous Mobile Cloud Environments , 2019, EAI Endorsed Trans. Mob. Commun. Appl..

[13]  Dileep Kumar Sajnani,et al.  Latency Aware and Service Delay with Task Scheduling in Mobile Edge Computing , 2018 .

[14]  Xianglin Wei,et al.  Efficient multi-tasks scheduling algorithm in mobile cloud computing with time constraints , 2018, Peer-to-Peer Netw. Appl..

[15]  Lin Li,et al.  Multi-criteria decision-making method based on single-valued neutrosophic linguistic Maclaurin symmetric mean operators , 2018, Neural Computing and Applications.

[16]  Evangelos Triantaphyllou,et al.  Multi-Criteria Decision Making Methods , 2000 .