A Multi-Objective Task Scheduling Strategy for Intelligent Production Line Based on Cloud-Fog Computing
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Yuanguo Bi | Guangjie Han | Zhenyu Yin | Chao Fan | Fulong Xu | Feiqing Zhang | Yue Li
[1] Jun Tang,et al. A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends , 2021, IEEE/CAA Journal of Automatica Sinica.
[2] Navjeet Kaur,et al. A systematic review on task scheduling in Fog computing: Taxonomy, tools, challenges, and future directions , 2021, Concurr. Comput. Pract. Exp..
[3] Gareth Iacobucci. Government should commit to making GP premises carbon neutral by 2030, say leaders , 2021, BMJ.
[4] Xueliang Fu,et al. Task scheduling of cloud computing based on hybrid particle swarm algorithm and genetic algorithm , 2021, Cluster Computing.
[5] Juan Wang,et al. Fog Nodes Deployment Based on Space–Time Characteristics in Smart Factory , 2021, IEEE Transactions on Industrial Informatics.
[6] Mohamed Nazih Omri,et al. Cooperative agents-based approach for workflow scheduling on fog-cloud computing , 2021, Journal of Ambient Intelligence and Humanized Computing.
[7] Aida A. Nasr,et al. Reliable scheduling and load balancing for requests in cloud-fog computing , 2021, Peer-to-Peer Networking and Applications.
[8] Licheng Jiao,et al. A two-stage hybrid ant colony optimization for high-dimensional feature selection , 2021, Pattern Recognit..
[9] Paul J. M. Havinga,et al. Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification , 2021, Sensors.
[10] Wonjae Shin,et al. Joint Time Allocation for Wireless Energy Harvesting Decode-and-Forward Relay-Based IoT Networks With Rechargeable and Nonrechargeable Batteries , 2021, IEEE Internet of Things Journal.
[11] Asif Ali Laghari,et al. Review and State of Art of Fog Computing , 2021, Archives of Computational Methods in Engineering.
[12] Mohammad Hossein Rezvani,et al. Delay-aware optimization of energy consumption for task offloading in fog environments using metaheuristic algorithms , 2021, Cluster Computing.
[13] Jyoti Bisht,et al. Energy Efficient and Optimized Makespan Workflow Scheduling Algorithm for Heterogeneous Resources in Fog-Cloud-Edge Collaboration , 2020, 2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE).
[14] Sumit Singh Chauhan,et al. A review on genetic algorithm: past, present, and future , 2020, Multimedia Tools and Applications.
[15] Abderrahim Benslimane,et al. Mobility-aware task scheduling in cloud-Fog IoT-based healthcare architectures , 2020, Comput. Networks.
[16] Klaus Wehrle,et al. Challenges and Opportunities in Securing the Industrial Internet of Things , 2020, IEEE Transactions on Industrial Informatics.
[17] George Mastorakis,et al. Latency-Driven Parallel Task Data Offloading in Fog Computing Networks for Industrial Applications , 2020, IEEE Transactions on Industrial Informatics.
[18] Atta ur Rahman,et al. Cloud of Things: architecture, applications and challenges , 2020, Journal of Ambient Intelligence and Humanized Computing.
[19] Zheng Chang,et al. Dynamic Resource Allocation and Computation Offloading for IoT Fog Computing System , 2020, IEEE Transactions on Industrial Informatics.
[20] Jingxuan Huang,et al. An Ant Colony Optimization-Based Multiobjective Service Replicas Placement Strategy for Fog Computing , 2020, IEEE Transactions on Cybernetics.
[21] Rashid Mirzavand,et al. A Three-Port Zero-Power RFID Sensor Architecture for IoT Applications , 2020, IEEE Access.
[22] Rajkumar Buyya,et al. A Hybrid Bio-Inspired Algorithm for Scheduling and Resource Management in Cloud Environment , 2020, IEEE Transactions on Services Computing.
[23] Diptendu Sinha Roy,et al. Multiobjective hybrid monarch butterfly optimization for imbalanced disease classification problem , 2019, International Journal of Machine Learning and Cybernetics.
[24] Victor Chang,et al. Scheduling Algorithms for Heterogeneous Cloud Environment: Main Resource Load Balancing Algorithm and Time Balancing Algorithm , 2019, Journal of Grid Computing.
[25] Wei-Ho Chung,et al. Latency-Driven Fog Cooperation Approach in Fog Radio Access Networks , 2019, IEEE Transactions on Services Computing.
[26] Farhad Soleimanian Gharehchopogh,et al. A comprehensive survey on symbiotic organisms search algorithms , 2019, Artificial Intelligence Review.
[27] Juan Wang,et al. Task Scheduling Based on a Hybrid Heuristic Algorithm for Smart Production Line with Fog Computing , 2019, Sensors.
[28] Michael Kerber,et al. Computing the Interleaving Distance is NP-Hard , 2018, Foundations of Computational Mathematics.
[29] Krishna P. Kadiyala,et al. All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey , 2018, J. Syst. Archit..
[30] Lyes Khoukhi,et al. Industrial IoT Data Scheduling Based on Hierarchical Fog Computing: A Key for Enabling Smart Factory , 2018, IEEE Transactions on Industrial Informatics.
[31] Tiago M. Fernández-Caramés,et al. A Fog Computing and Cloudlet Based Augmented Reality System for the Industry 4.0 Shipyard , 2018, Sensors.
[32] Thomas Magedanz,et al. Application of the Fog computing paradigm to Smart Factories and cyber‐physical systems , 2018, Trans. Emerg. Telecommun. Technol..
[33] Mohammad Reza Bonyadi,et al. A Theoretical Guideline for Designing an Effective Adaptive Particle Swarm , 2018, IEEE Transactions on Evolutionary Computation.
[34] Hossam Faris,et al. Improved monarch butterfly optimization for unconstrained global search and neural network training , 2018, Applied Intelligence.
[35] Jiafu Wan,et al. Adaptive Transmission Optimization in SDN-Based Industrial Internet of Things With Edge Computing , 2018, IEEE Internet of Things Journal.
[36] Eryk Dutkiewicz,et al. Sustainable Service Allocation Using a Metaheuristic Technique in a Fog Server for Industrial Applications , 2018, IEEE Transactions on Industrial Informatics.
[37] Roch H. Glitho,et al. A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges , 2017, IEEE Communications Surveys & Tutorials.
[38] Zhihua Cui,et al. Monarch butterfly optimization , 2015, Neural Computing and Applications.
[39] Andrew Lewis,et al. Grey Wolf Optimizer , 2014, Adv. Eng. Softw..
[40] Wu He,et al. Internet of Things in Industries: A Survey , 2014, IEEE Transactions on Industrial Informatics.
[41] Attahiru Sule Alfa,et al. Queueing Theory for Telecommunications - Discrete Time Modelling of a Single Node System , 2010 .
[42] B. Suman,et al. A survey of simulated annealing as a tool for single and multiobjective optimization , 2006, J. Oper. Res. Soc..
[43] G. Di Caro,et al. Ant colony optimization: a new meta-heuristic , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[44] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[45] Dilip Kumar Sharma,et al. Fuzzy Based Ant Colony Optimization Scheduling in Cloud Computing , 2022, Comput. Syst. Sci. Eng..
[46] Hao Ma,et al. A Multi-Objective Task Scheduling Method for Fog Computing in Cyber-Physical-Social Services , 2020, IEEE Access.
[47] Shudong Wang,et al. Task Scheduling Algorithm Based on Improved Firework Algorithm in Fog Computing , 2020, IEEE Access.
[48] Juan Wang,et al. Computing modes-based task processing for industrial internet of things , 2019, Int. J. Auton. Adapt. Commun. Syst..
[49] Xue Liu,et al. Distributed Coordination of Internet Data Centers Under Multiregional Electricity Markets , 2012, Proceedings of the IEEE.