WITHDRAWN: An Energy Efficient Hybrid Priority Assigned Laxity Algorithm for Load Balancing in Fog Computing
Sustainable Computing: Informatics and Systems - Trang 100566 - 2021
Tài liệu tham khảo
Natesha, 2018, Heuristic-Based IoT Application Modules Placement in the Fog-Cloud Computing Environment, 24
Giang, 2018, Exogenous coordination for building fog-based cyber physical social computing and networking systems, IEEE Access, 6, 31740, 10.1109/ACCESS.2018.2844336
Chen, 2018, Heterogeneous Online Learning for “Thing-Adaptive” Fog Computing in IoT, IEEE Internet of Things Journal, 5, 4328, 10.1109/JIOT.2018.2860281
Gia, 2018, Fog computing approach for mobility support in Internet-of-Things systems, IEEE Access, 6, 36064, 10.1109/ACCESS.2018.2848119
Sharma, 2019, A Novel Four-Tier Architecture for Delay Aware Scheduling and Load Balancing in Fog Environment, Sustainable Computing: Informatics and Systems
Singh, 2019, Fog computing: from architecture to edge computing and big data processing, The Journal of Supercomputing, 75, 2070, 10.1007/s11227-018-2701-2
La, 2018, Enabling intelligence in fog computing to achieve energy and latency reduction, Digital Communications and Networks.
Singh, 2021
Alrawais, 2017, Fog computing for the internet of things: Security and privacy issues, IEEE Internet Computing, 21, 34, 10.1109/MIC.2017.37
Pooranian, 2013, GLOA: a new job scheduling algorithm for grid computing, International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2
Mutlag, 2019, Enabling technologies for fog computing in healthcare IoT systems, Future Generation Computer Systems, 90, 62, 10.1016/j.future.2018.07.049
Baccarelli, 2017, Fog of everything: Energy-efficient networked computing architectures, research challenges, and a case study, IEEE access, 5, 9882, 10.1109/ACCESS.2017.2702013
Liu, 2017, Latency and reliability-aware task offloading and resource allocation for mobile edge computing, 1
LD, 2013, Honey bee behavior inspired load balancing of tasks in cloud computing environments, Applied Soft Computing, 13, 2292, 10.1016/j.asoc.2013.01.025
Mahmoud, 2018, Towards energy-aware fog-enabled cloud of things for healthcare, Computers Electrical Engineering, 67, 58, 10.1016/j.compeleceng.2018.02.047
Fan, 2018, Towards workload balancing in fog computing empowered IoT, IEEE Transactions on Network Science and Engineering.
Leontiou, 2018, Papavassiliou, SA hierarchical control framework of load balancing and resource allocation of cloud computing services, Computers Electrical Engineering, 67, 235, 10.1016/j.compeleceng.2018.03.035
Oma, 2018, An energy-efficient model for fog computing in the internet of things (IoT), Internet of Things, 1, 14, 10.1016/j.iot.2018.08.003
Talaat, 2019, Effective Load Balancing Strategy (ELBS) for Real-Time Fog Computing Environment Using Fuzzy and Probabilistic Neural Networks, Journal of Network and Systems Management, 1
Deng, 2016, Optimal workload allocation in fog-cloud computing toward balanced delay and power consumption, IEEE Internet of Things Journal, 3, 1171
Li, 2018, Sslb: Self-similarity-based load balancing for large-scale fog computing, Arabian Journal for Science and Engineering, 43, 7487, 10.1007/s13369-018-3169-3
Liang, 2019, A Distributed Intelligent Hungarian Algorithm for Workload Balance in Sensor-Cloud Systems Based on Urban Fog Computing, IEEE Access, 7, 77649, 10.1109/ACCESS.2019.2922322
Liu, 2017, Multiobjective optimization for computation offloading in fog computing, IEEE Internet of Things Journal, 5, 283, 10.1109/JIOT.2017.2780236
Adhikari, 2019, Energy efficient offloading strategy in fog-cloud environment for IoT applications, Internet of Things, 6, 10.1016/j.iot.2019.100053
Singh, 2019, Design and exploration of load balancers for fog computing using fuzzy logic, Simulation Modelling Practice and Theory
Zhou, 2021, Minimizing SLA violation and power consumption in Cloud data centers using adaptive energy-aware algorithms, Future Generation Computer Systems, 86, 836, 10.1016/j.future.2017.07.048
Ningning, 2016, Fog computing dynamic load balancing mechanism based on graph repartitioning, China Communications, 13, 156, 10.1109/CC.2016.7445510
Sun, 2017, A resource-sharing model based on a repeated game in fog computing, Saudi journal of biological sciences, 24, 687, 10.1016/j.sjbs.2017.01.043
Puthal, 2018, Secure and sustainable load balancing of edge data centers in fog computing, IEEE Communications Magazine, 56, 60, 10.1109/MCOM.2018.1700795
Beraldi, 2020, Distributed load balancing for heterogeneous fog computing infrastructures in smart cities, Pervasive and Mobile Computing., 10.1016/j.pmcj.2020.101221
Talaat, 2020, A load balancing and optimization strategy (LBOS) using reinforcement learning in fog computing environment, Journal of Ambient Intelligence and Humanized Computing., 10.1007/s12652-020-01768-8
Mukherjee, 2019, Joint task offloading and resource allocation for delay-sensitive fog networks, 1