جایابی وظایف در محاسبات مه با در نظر گرفتن تحرک کاربران و اضافه بار

[1] K. Ashton, “That internet of things thing”, RFID Journal, vol. 22, no. 7, pp. 97–114, 2009.

[2] M. Bahrami, M. Singhal, “The role of cloud computing architecture in big data”, Information granularity, big data, and computational intelligence, pp. 275–295, 2015.

[3] A. Kumari, S. Tanwar, S. Tyagi, N. Kumar, “Fog computing for healthcare 4.0 environment: Opportunities and challenges”, Computers & Electrical Engineering, vol. 72, pp. 1–13, 2018.

[4] M. Mukherjee, L. Shu, D. Wang, “Survey of fog computing: Fundamental, network applications, and research challenges”, IEEE Communications Surveys & Tutorials, vol. 20, no. 3, pp. 1826–1857, 2018.

[5] S. Mostafavi, F. Ahmadi, M. Agha Sarram, “Reinforcement-Learning-based Foresighted Task Scheduling in Cloud Computing”, Tabriz Journal of Electrical Engineering, vol. 50, no. 1, pp. 387-401, 2020 (in persian).

[6] S. Ghasemi-Falavarjani, M.A. Nematbakhsh, B. Shahgholi Ghahfarokhi, “Multi-Objective Task Allocation in Offloading to Mobile Cloud”, Tabriz Journal of Electrical Engineering, vol. 46, no. 4, pp. 217-232, 2017 (in persian).

[7] B. Nair, M.S.B. Somasundaram, “Overload prediction and avoidance for maintaining optimal working condition in a fog node”, Computers & Electrical Engineering, vol. 77, pp. 147–162, 2019.

[8] K. Gasmi, K. Dilek, S. Tosun, S. Ozdemir, “A survey on computation offloading and service placement in fog computing-based IoT”, The Journal of Supercomputing, vol. 78, no. 2, pp. 1983-2014, 2022.

[10] M.Q. Tran, D.T. Nguyen, V.A. Le, D.H. Nguyen, T.V. Pham, “Task placement on fog computing made efficient for IoT application provision”, Wireless Communications and Mobile Computing, pp. 1-17, 2019.

[11] Y. Xia, X. Etchevers, L. Letondeur, T. Coupaye, F. Desprez, “Combining hardware nodes and software components ordering-based heuristics for optimizing the placement of distributed IoT applications in the fog”, In Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018, pp. 751-760.

[12] F. Khosroabadi, F. Fotouhi-Ghazvini, H Fotouhi, “Scatter: Service placement in real-time fog-assisted iot networks”, Journal of Sensor and Actuator Networks, vol. 10, no. 2, pp. 26, 2021.

[13] B.V. Natesha, R.M.R. Guddeti, “Meta-heuristic based hybrid service placement strategies for two-level fog computing architecture”, Journal of Network and Systems Management, vol. 30, no. 3, pp. 47, 2022.

[14] M. Goudarzi, H. Wu, M. Palaniswami, R. Buyya, “An application placement technique for concurrent IoT applications in edge and fog computing environments”, IEEE Transactions on Mobile Computing, vol. 20, no. 4, pp. 1298-1311, 2020.

[15] B. Kopras, B. Bossy, F. Idzikowski, P. Kryszkiewicz, H. Bogucka, “Task Allocation for Energy Optimization in Fog Computing Networks with Latency Constraints”, IEEE Transactions on Communications, vol. 70, no. 12, pp. 8229-8243, 2022.

[16] I. Sarkar, M. Adhikari, N. Kumar, S. Kumar, “Dynamic task placement for deadline-aware IoT applications in federated fog networks”, IEEE Internet of Things Journal, vol. 9, no. 2, pp. 1469-1478, 2021.

[17] A. Mseddi, W. Jaafar, H. Elbiaze, W. Ajib, “Joint container placement and task provisioning in dynamic fog computing”, IEEE Internet of Things Journal, vol. 6, no. 6, pp. 10028-10040, 2019.

[18] D. Wang, Z. Liu, X. Wang, Y. Lan, “Mobility-aware task offloading and migration schemes in fog computing networks”, IEEE Access, vol. 7, pp. 43356-43368, 2019.

[19] M. Peixoto, T. Genez, L.F. Bittencourt, “Hierarchical scheduling mechanisms in multi-level fog computing”, IEEE Transactions on Services Computing, vol. 15, no. 5, pp. 2824-2837, 2021.

[20] S. Sarkar, S. Misra, “Theoretical modelling of fog computing: a green computing paradigm to support iot applications”, Iet Networks, vol. 5, no. 2, pp. 23–29, 2016.

[21] H. Gupta, A.V. Dastjerdi, SK. Ghosh, R. Buyya, “ifogsim: A toolkit for modeling and simulation of resource management techniques in the internet of things, edge and fog computing environments”, Software: Practice and Experience, vol. 47, no. 9, pp. 1275–1296, 2017.

[22] M. Goudarzi, M. Palaniswami, R Buyya, “A distributed application placement and migration management techniques for edge and fog computing environments”, In 2021 16th Conference on Computer Science and Intelligence Systems (FedCSIS), 2021, pp. 37–56.