Mostafa Ghobaei-Arani
Orcid: 0000-0003-2639-0900Affiliations:
- Islamic Azad University, Department of Computer Engineering, Qom, Iran
According to our database1,
Mostafa Ghobaei-Arani
authored at least 77 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Data pipeline approaches in serverless computing: a taxonomy, review, and research trends.
J. Big Data, December, 2024
A survey on the cold start latency approaches in serverless computing: an optimization-based perspective.
Computing, November, 2024
A learning-based data and task placement mechanism for IoT applications in fog computing: a context-aware approach.
J. Supercomput., October, 2024
J. Supercomput., September, 2024
Identifying influential users using homophily-based approach in location-based social networks.
J. Supercomput., September, 2024
Memory orchestration mechanisms in serverless computing: a taxonomy, review and future directions.
Clust. Comput., August, 2024
A survey on the scheduling mechanisms in serverless computing: a taxonomy, challenges, and trends.
Clust. Comput., August, 2024
A stochastic multi-objective optimization method for railways scheduling: a NSGA-II-based hybrid approach.
J. Supercomput., January, 2024
A multi-objective QoS-aware IoT service placement mechanism using Teaching Learning-Based Optimization in the fog computing environment.
Neural Comput. Appl., 2024
J. Syst. Archit., 2024
Cold start latency mitigation mechanisms in serverless computing: Taxonomy, review, and future directions.
J. Syst. Archit., 2024
Comput. Sci. Rev., 2024
A comprehensive review on machine learning in brain tumor classification: taxonomy, challenges, and future trends.
Biomed. Signal Process. Control., 2024
2023
Towards an automatic deployment model of IoT services in Fog computing using an adaptive differential evolution algorithm.
Internet Things, December, 2023
An autonomous proactive content caching method in edge computing environment: a learning-based approach.
Multim. Tools Appl., November, 2023
A hybrid clustering approach for link prediction in heterogeneous information networks.
Knowl. Inf. Syst., November, 2023
Dynamic service function chain placement with instance reuse in Fog-Cloud Computing.
ICT Express, October, 2023
An Intrusion Detection System using Deep Cellular Learning Automata and Semantic Hierarchy for Enhancing RPL Protocol Security.
Clust. Comput., August, 2023
A review on the edge caching mechanisms in the mobile edge computing: A social-aware perspective.
Internet Things, July, 2023
Softw. Pract. Exp., March, 2023
An efficient data replica placement mechanism using biogeography-based optimization technique in the fog computing environment.
J. Ambient Intell. Humaniz. Comput., 2023
J. Ambient Intell. Humaniz. Comput., 2023
2022
A metaheuristic-based data replica placement approach for data-intensive IoT applications in the fog computing environment.
Softw. Pract. Exp., 2022
Deploying IoT services on the fog infrastructure: A graph partitioning-based approach.
Softw. Pract. Exp., 2022
Peer-to-Peer Netw. Appl., 2022
Cloud manufacturing service composition in IoT applications: a formal verification-based approach.
Multim. Tools Appl., 2022
An auto-scaling mechanism for cloud-based multimedia storage systems: a fuzzy-based elastic controller.
Multim. Tools Appl., 2022
J. Syst. Archit., 2022
J. Ambient Intell. Humaniz. Comput., 2022
An efficient dynamic service provisioning mechanism in fog computing environment: A learning automata approach.
Expert Syst. Appl., 2022
A cost-efficient IoT service placement approach using whale optimization algorithm in fog computing environment.
Expert Syst. Appl., 2022
Light-Edge: A Lightweight Authentication Protocol for IoT Devices in an Edge-Cloud Environment.
IEEE Consumer Electron. Mag., 2022
An Evolutionary Multi-objective Optimization Technique to Deploy the IoT Services in Fog-enabled Networks: An Autonomous Approach.
Appl. Artif. Intell., 2022
Dynamic Resource Allocation Using Improved Firefly Optimization Algorithm in Cloud Environment.
Appl. Artif. Intell., 2022
2021
A latency-aware and energy-efficient computation offloading in mobile fog computing: a hidden Markov model-based approach.
J. Supercomput., 2021
An efficient resource provisioning approach for analyzing cloud workloads: a metaheuristic-based clustering approach.
J. Supercomput., 2021
Toward an autonomic approach for Internet of Things service placement using gray wolf optimization in the fog computing environment.
Softw. Pract. Exp., 2021
A workload clustering based resource provisioning mechanism using Biogeography based optimization technique in the cloud based systems.
Soft Comput., 2021
An autonomous computation offloading strategy in Mobile Edge Computing: A deep learning-based hybrid approach.
J. Netw. Comput. Appl., 2021
J. Exp. Theor. Artif. Intell., 2021
Autonomous computation offloading and auto-scaling the in the mobile fog computing: a deep reinforcement learning-based approach.
J. Ambient Intell. Humaniz. Comput., 2021
Int. J. Commun. Syst., 2021
Context-Aware Multi-User Offloading in Mobile Edge Computing: a Federated Learning-Based Approach.
J. Grid Comput., 2021
Multiuser context-aware computation offloading in mobile edge computing based on Bayesian learning automata.
Trans. Emerg. Telecommun. Technol., 2021
A Technical Report for Light-Edge: A Lightweight Authentication Protocol for IoT Devices in an Edge-Cloud Environment.
CoRR, 2021
An efficient power-aware VM allocation mechanism in cloud data centers: a micro genetic-based approach.
Clust. Comput., 2021
Resource provisioning using workload clustering in cloud computing environment: a hybrid approach.
Clust. Comput., 2021
A cost-efficient auto-scaling mechanism for IoT applications in fog computing environment: a deep learning-based approach.
Clust. Comput., 2021
2020
A review on the computation offloading approaches in mobile edge computing: A game-theoretic perspective.
Softw. Pract. Exp., 2020
Joint computation offloading and resource provisioning for edge-cloud computing environment: A machine learning-based approach.
Softw. Pract. Exp., 2020
A Survey on the Computation Offloading Approaches in Mobile Edge/Cloud Computing Environment: A Stochastic-based Perspective.
J. Grid Comput., 2020
J. Grid Comput., 2020
An efficient task scheduling approach using moth-flame optimization algorithm for cyber-physical system applications in fog computing.
Trans. Emerg. Telecommun. Technol., 2020
Resource provisioning for IoT services in the fog computing environment: An autonomic approach.
Comput. Commun., 2020
A survey on the computation offloading approaches in mobile edge computing: A machine learning-based perspective.
Comput. Networks, 2020
Clust. Comput., 2020
Bio-inspired virtual machine placement schemes in cloud computing environment: taxonomy, review, and future research directions.
Clust. Comput., 2020
2019
LP-WSC: a linear programming approach for web service composition in geographically distributed cloud environments.
J. Supercomput., 2019
A self-learning fuzzy approach for proactive resource provisioning in cloud environment.
Softw. Pract. Exp., 2019
An autonomous resource provisioning framework for massively multiplayer online games in cloud environment.
J. Netw. Comput. Appl., 2019
Multiobjective virtual machine placement mechanisms using nature-inspired metaheuristic algorithms in cloud environments: A comprehensive review.
Int. J. Commun. Syst., 2019
LARPA: A learning automata-based resource provisioning approach for massively multiplayer online games in cloud environments.
Int. J. Commun. Syst., 2019
ControCity: An Autonomous Approach for Controlling Elasticity Using Buffer Management in Cloud Computing Environment.
IEEE Access, 2019
2018
Resource provisioning for cloud applications: a 3-D, provident and flexible approach.
J. Supercomput., 2018
An ensemble CPU load prediction algorithm using a Bayesian information criterion and smooth filters in a cloud computing environment.
Softw. Pract. Exp., 2018
FAHP approach for autonomic resource provisioning of multitier applications in cloud computing environments.
Softw. Pract. Exp., 2018
A moth-flame optimization algorithm for web service composition in cloud computing: Simulation and verification.
Softw. Pract. Exp., 2018
Soft Comput., 2018
Int. J. Commun. Syst., 2018
A learning automata-based ensemble resource usage prediction algorithm for cloud computing environment.
Future Gener. Comput. Syst., 2018
An autonomic resource provisioning approach for service-based cloud applications: A hybrid approach.
Future Gener. Comput. Syst., 2018
2017
J. Netw. Comput. Appl., 2017
An efficient approach for improving virtual machine placement in cloud computing environment.
J. Exp. Theor. Artif. Intell., 2017
2016
Clust. Comput., 2016
2015
Smart Virtual Machine Placement Using Learning Automata to Reduce Power Consumption in Cloud Data Centers.
Smart Comput. Rev., 2015