Internet of Things applications placement to minimize latency in multi-tier fog computing framework

ICT Express - Tập 8 - Trang 166-173 - 2022
Prasenjit Maiti1, Bibhudatta Sahoo1, Ashok Kumar Turuk1, Ajit Kumar2, Bong Jun Choi2
1Department of Computer Science and Engineering, NIT Rourkela, Odisha, India
2School of Computer Science and Engineering, Soongsil University, Seoul, South Korea

Tài liệu tham khảo

Xu, 2019, A computation offloading method over big data for IoT-enabled cloud–edge computing, Future Gener. Comput. Syst., 95, 522, 10.1016/j.future.2018.12.055 Masip-Bruin, 2016, Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems, IEEE Wirel. Commun., 23, 120, 10.1109/MWC.2016.7721750 Gerasoulis, 1992, A comparison of clustering heuristics for scheduling DAGs on multiprocessors, J. Parallel Distrib. Comput., 16, 276, 10.1016/0743-7315(92)90012-C Sih, 1993, A compile-time scheduling heuristic for interconnection-constrained heterogeneous processor architectures, IEEE Trans. Parallel Distrib. Syst., 4, 75, 10.1109/71.207593 Pham, 2017, A cost-and performance-effective approach for task scheduling based on collaboration between cloud and fog computing, Int. J. Distrib. Sens. Netw., 13, 1, 10.1177/1550147717742073 Nan, 2016, Cost-effective processing for delay-sensitive applications in cloud of things systems, 162 Skarlat, 2017, Optimized IoT service placement in the fog, Service-Oriented Computing and Applications, 11, 427, 10.1007/s11761-017-0219-8 Wu, 2019, An efficient application partitioning algorithm in mobile environments, IEEE Trans. Parallel Distrib. Syst., 30, 1464, 10.1109/TPDS.2019.2891695 Neto, 2018, ULOOF: A user-level online offloading framework for mobile edge computing, IEEE Trans. Mob. Comput., 17, 2660, 10.1109/TMC.2018.2815015 Lin, 2019, Echo: An edge-centric code offloading system with quality of service guarantee, IEEE Access, 7, 5905, 10.1109/ACCESS.2018.2883291 Stavrinides, 2019, A hybrid approach to scheduling real-time IoT workflows in fog and cloud environments, Multimedia Tools Appl., 78, 24639, 10.1007/s11042-018-7051-9 Mahmud, 2018, Latency-aware application module management for fog computing environments, ACM Trans. Internet Technol., 19, 1, 10.1145/3186592