IoT Workflow Scheduling Using Intelligent Arithmetic Optimization Algorithm in Fog Computing
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
IoT Workflow Scheduling Using Intelligent Arithmetic Optimization Algorithm in Fog Computing
Authors
Keywords
-
Journal
Computational Intelligence and Neuroscience
Volume 2021, Issue -, Pages 1-14
Publisher
Hindawi Limited
Online
2021-12-25
DOI
10.1155/2021/9114113
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks
- (2021) Ahmad Eid et al. NEURAL COMPUTING & APPLICATIONS
- Intelligent workflow scheduling for Big Data applications in IoT cloud computing environments
- (2021) Laith Abualigah et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Aquila Optimizer: A novel meta-heuristic optimization algorithm
- (2021) Laith Abualigah et al. COMPUTERS & INDUSTRIAL ENGINEERING
- EA-MSCA: An effective energy-aware multi-objective modified sine-cosine algorithm for real-time task scheduling in multiprocessor systems: Methods and analysis
- (2021) Mohamed Abdel-Basset et al. EXPERT SYSTEMS WITH APPLICATIONS
- Task Offloading in Fog Computing for Using Smart Ant Colony Optimization
- (2021) Amit Kishor et al. WIRELESS PERSONAL COMMUNICATIONS
- Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments
- (2021) Mohamed Abd Elaziz et al. Future Generation Computer Systems-The International Journal of eScience
- Applications, Deployments, and Integration of Internet of Drones (IoD): A Review
- (2021) Laith Abualigah et al. IEEE SENSORS JOURNAL
- Multi-objective task scheduling optimization in cloud computing based on fuzzy self-defense algorithm
- (2021) Xueying Guo Alexandria Engineering Journal
- A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments
- (2020) Laith Abualigah et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- IoT networks 3D deployment using hybrid many-objective optimization algorithms
- (2020) Sami Mnasri et al. JOURNAL OF HEURISTICS
- Marine Predators Algorithm for Forecasting Confirmed Cases of COVID-19 in Italy, USA, Iran and Korea
- (2020) Mohammed A. A. Al-qaness et al. International Journal of Environmental Research and Public Health
- Job Scheduling in Cloud Computing Using a Modified Harris Hawks Optimization and Simulated Annealing Algorithm
- (2020) Ibrahim Attiya et al. Computational Intelligence and Neuroscience
- Chimp optimization algorithm
- (2020) M. Khishe et al. EXPERT SYSTEMS WITH APPLICATIONS
- Marine Predators Algorithm: A nature-inspired metaheuristic
- (2020) Afshin Faramarzi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Enhanced multi-verse optimizer for task scheduling in cloud computing environments
- (2020) Sarah E. Shukri et al. EXPERT SYSTEMS WITH APPLICATIONS
- Methods of Resource Scheduling Based on Optimized Fuzzy Clustering in Fog Computing
- (2019) Guangshun Li et al. SENSORS
- Evolutionary Algorithms to Optimize Task Scheduling Problem for the IoT Based Bag-of-Tasks Application in Cloud–Fog Computing Environment
- (2019) Binh Minh Nguyen et al. Applied Sciences-Basel
- Improving fog computing performance via Fog-2-Fog collaboration
- (2019) Mohammed Al-khafajiy et al. Future Generation Computer Systems-The International Journal of eScience
- An efficient task scheduling approach using moth‐flame optimization algorithm for cyber‐physical system applications in fog computing
- (2019) Mostafa Ghobaei‐Arani et al. Transactions on Emerging Telecommunications Technologies
- Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications
- (2019) Weiguo Zhao et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A scheduling scheme in the cloud computing environment using deep Q-learning
- (2019) Zhao Tong et al. INFORMATION SCIENCES
- An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing
- (2018) Xiao-Fang Liu et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Secure Data Storage and Searching for Industrial IoT by Integrating Fog Computing and Cloud Computing
- (2018) Junsong Fu et al. IEEE Transactions on Industrial Informatics
- Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach
- (2018) Zong-Gan Chen et al. IEEE Transactions on Cybernetics
- An efficient Swarm-Intelligence approach for task scheduling in cloud-based internet of things applications
- (2018) Hamid Reza Boveiri et al. Journal of Ambient Intelligence and Humanized Computing
- Folo: Latency and Quality Optimized Task Allocation in Vehicular Fog Computing
- (2018) Chao Zhu et al. IEEE Internet of Things Journal
- A task scheduling algorithm considering game theory designed for energy management in cloud computing
- (2017) Jiachen Yang et al. Future Generation Computer Systems-The International Journal of eScience
- D-Choices Scheduling: A Randomized Load Balancing Algorithm for Scheduling in the Cloud
- (2017) Ibrahim Attiya et al. Journal of Computational and Theoretical Nanoscience
- Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System
- (2016) Deze Zeng et al. IEEE TRANSACTIONS ON COMPUTERS
- A Pretreatment Workflow Scheduling Approach for Big Data Applications in Multicloud Environments
- (2016) Bing Lin et al. IEEE Transactions on Network and Service Management
- A Pretreatment Workflow Scheduling Approach for Big Data Applications in Multicloud Environments
- (2016) Bing Lin et al. IEEE Transactions on Network and Service Management
- Metaheuristic Scheduling for Cloud: A Survey
- (2013) Chun-Wei Tsai et al. IEEE Systems Journal
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search