Autonomous computation offloading and auto-scaling the in the mobile fog computing: a deep reinforcement learning-based approach

A load balancing and optimization strategy (LBOS) using reinforcement learning in fog computing environment

(2020) Fatma M. Talaat et al.   Journal of Ambient Intelligence and Humanized Computing

Resource provisioning using workload clustering in cloud computing environment: a hybrid approach

(2020) Ali Shahidinejad et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

A review on the computation offloading approaches in mobile edge computing: A g ame‐theoretic perspective

(2020) Ali Shakarami et al.   SOFTWARE-PRACTICE & EXPERIENCE

Mobility aware autonomic approach for the migration of application modules in fog computing environment

(2020) John Paul Martin et al.   Journal of Ambient Intelligence and Humanized Computing

Multi-step medical image segmentation based on reinforcement learning

(2020) Zhiqiang Tian et al.   Journal of Ambient Intelligence and Humanized Computing

A novel energy estimation model for constraint based task offloading in mobile cloud computing

(2020) S. Erana Veerappa Dinesh et al.   Journal of Ambient Intelligence and Humanized Computing

A Survey on the Computation Offloading Approaches in Mobile Edge/Cloud Computing Environment: A Stochastic-based Perspective

(2020) Ali Shakarami et al.   Journal of Grid Computing

Resource provisioning for IoT services in the fog computing environment: An autonomic approach

(2020) Masoumeh Etemadi et al.   COMPUTER COMMUNICATIONS

Joint computation offloading and resource provisioning for e dge‐cloud computing environment: A machine learning‐based approach

(2020) Ali Shahidinejad et al.   SOFTWARE-PRACTICE & EXPERIENCE

A survey on the computation offloading approaches in mobile edge computing: A machine learning-based perspective

(2020) Ali Shakarami et al.   Computer Networks

Energy-efficient computation offloading in 5G cellular networks with edge computing and D2D communications

(2019) Qingmin Jia et al.   IET Communications

Intelligent Offloading in Multi-Access Edge Computing: A State-of-the-Art Review and Framework

(2019) Bin Cao et al.   IEEE COMMUNICATIONS MAGAZINE

Sustainable Offloading in Mobile Cloud Computing

(2019) Azzedine Boukerche et al.   ACM COMPUTING SURVEYS

Knowledge-Driven Service Offloading Decision for Vehicular Edge Computing: A Deep Reinforcement Learning Approach

(2019) Qi Qi et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Optimization of lightweight task offloading strategy for mobile edge computing based on deep reinforcement learning

(2019) Haifeng Lu et al.   Future Generation Computer Systems-The International Journal of eScience

Adaptable mobile cloud computing environment with code transfer based on machine learning

(2019) P. Nawrocki et al.   Pervasive and Mobile Computing

From Cloud Down to Things: An Overview of Machine Learning in Internet of Things

(2019) Farzad Samie et al.   IEEE Internet of Things Journal

Resource Management in Fog/Edge Computing

(2019) Cheol-Ho Hong et al.   ACM COMPUTING SURVEYS

An elastic controller using Colored Petri Nets in cloud computing environment

(2019) Ali Shahidinejad et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Mobile Edge Computing-Enabled Internet of Vehicles: Toward Energy-Efficient Scheduling

(2019) Zhaolong Ning et al.   IEEE NETWORK

Resource Management Approaches in Fog Computing: a Comprehensive Review

(2019) Mostafa Ghobaei-Arani et al.   Journal of Grid Computing

iRAF: A Deep Reinforcement Learning Approach for Collaborative Mobile Edge Computing IoT Networks

(2019) Jienan Chen et al.   IEEE Internet of Things Journal

A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms

(2019) Ju Ren et al.   ACM COMPUTING SURVEYS

A review of edge computing reference architectures and a new global edge proposal

(2019) Inés Sittón-Candanedo et al.   Future Generation Computer Systems-The International Journal of eScience

Deep Reinforcement Learning for Vehicular Edge Computing

(2019) Zhaolong Ning et al.   ACM Transactions on Intelligent Systems and Technology

A reinforcement learning scheme for the equilibrium of the in-vehicle route choice problem based on congestion game

(2019) Bo Zhou et al.   APPLIED MATHEMATICS AND COMPUTATION

An efficient performance evaluation model for the resource clusters in cloud environment using continuous time Markov chain and Poisson process

(2018) M. Kowsigan et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Omnidirectional-Vision-Based Distributed Optimal Tracking Control for Mobile Multirobot Systems With Kinematic and Dynamic Disturbance Rejection

(2018) Luy Nguyen Tan   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Mobile cloud computing: Challenges and future research directions

(2018) Talal H. Noor et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Framework for replica placement over cooperative edge networks

(2018) Pingting Hao et al.   Journal of Ambient Intelligence and Humanized Computing

A methodology for deployment of IoT application in fog

(2018) Salvatore Venticinque et al.   Journal of Ambient Intelligence and Humanized Computing

Deep learning models for human centered computing in fog and mobile edge networks

(2018) B. B. Gupta et al.   Journal of Ambient Intelligence and Humanized Computing

Multiobjective Optimization for Computation Offloading in Fog Computing

(2018) Liqing Liu et al.   IEEE Internet of Things Journal

Distributed H∞ Optimal Tracking Control for Strict-Feedback Nonlinear Large-Scale Systems With Disturbances and Saturating Actuators

(2018)   IEEE Transactions on Systems Man Cybernetics-Systems

An edge computing offloading mechanism for mobile peer sensing and network load weak balancing in 5G network

(2018) Yuan Shu et al.   Journal of Ambient Intelligence and Humanized Computing

Autonomic computation offloading in mobile edge for IoT applications

(2018) Md Golam Rabiul Alam et al.   Future Generation Computer Systems-The International Journal of eScience

Mobile Network-Aware Middleware Framework for Cloud Offloading: Using Reinforcement Learning to Make Reward-Based Decisions in Smartphone Applications

(2018) Aditya Khune et al.   IEEE Consumer Electronics Magazine

Traffic and Computation Co-Offloading With Reinforcement Learning in Fog Computing for Industrial Applications

(2018) Yixuan Wang et al.   IEEE Transactions on Industrial Informatics

Reinforcement learning for demand response: A review of algorithms and modeling techniques

(2018) José R. Vázquez-Canteli et al.   APPLIED ENERGY

Joint Optimization of Caching, Computing, and Radio Resources for Fog-Enabled IoT Using Natural Actor–Critic Deep Reinforcement Learning

(2018) Yifei Wei et al.   IEEE Internet of Things Journal

Adaptive Service Management in Mobile Cloud Computing by Means of Supervised and Reinforcement Learning

(2017) Piotr Nawrocki et al.   Journal of Network and Systems Management

iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments

(2017) Harshit Gupta et al.   SOFTWARE-PRACTICE & EXPERIENCE

Delay-Constrained Hybrid Computation Offloading With Cloud and Fog Computing

(2017) Xianling Meng et al.   IEEE Access

Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?

(2010) Karthik Kumar et al.   COMPUTER