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Project Titles in Edge Computing
Software Tools & Technologies
Operating System:
Ubuntu 14.04 LTS 64bit / Windows 10
Development Tools:
Netbean 11, Cloudsim 4.0, EdgeCloudSim
Language:
JAVA SE 11
Edge Computing Projects list
LiMPO: lightweight mobility prediction and offloading framework using machine learning for mobile edge computing - [2022]
Data and Computation-Intensive Service Re-Scheduling In Edge Networks - [2021]
Deep reinforcement learning-based task scheduling in IoT edge computing - [2021]
Dmro: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing - [2021]
Energy-Efficient Mobile Edge Computing under Delay Constraints - [2021]
Energy-aware inference offloading for DNN-driven applications in mobile edge clouds - [2021]
Hybrid Workflow Scheduling on Edge Cloud Computing Systems - [2021]
Improved butterfly optimization algorithm for data placement and scheduling in edge computing environments - [2021]
Online computation offloading and resource scheduling in mobile-edge computing - [2021]
SATSS: A Self-Adaptive Task Scheduling Scheme for Mobile Edge Computing - [2021]
Smart healthcare: RL-based task offloading scheme for edge-enable sensor networks - [2021]
A simulation-based optimization approach for reliability-aware service composition in edge computing - [2020]
Advanced deep learning-based computational offloading for multilevel vehicular edge-cloud computing networks - [2020]
An energy aware task scheduling model using ant-mating optimization in fog computing environment - [2020]
Deep-Reinforcement-Learning-Based Offloading Scheduling for Vehicular Edge Computing - [2020]
Epcaware: A game-based, energy, performance and cost efficient resource management technique for multi-access edge computing - [2020]
Intelligent task prediction and computation offloading based on mobile-edge cloud computing - [2020]
Optimization of lightweight task offloading strategy for mobile edge computing based on deep reinforcement learning - [2020]
Research on task offloading based on deep reinforcement learning in mobile edge environment - [2020]
Workload forecasting based elastic resource management in edge cloud - [2020]
A Distributed Truthful Auction Mechanism for Task Allocation in Mobile Cloud Computing - [2018]
A Double Deep Q-Learning Model for Energy-Efficient Edge Scheduling - [2018]
A smart caching mechanism for mobile multimedia in information centric networking with edge computing - [2018]
An advanced decision model enabling two-way initiative offloading in edge computing - [2018]
An approach for the secure management of hybrid cloud–edge environments - [2018]
Auction-Based Resource Allocation for Sharing Cloudlets in Mobile Cloud Computing - [2018]
Autonomic computation offloading in mobile edge for IoT applications - [2018]
DMPO: Dynamic mobility-aware partial offloading in mobile edge computing - [2018]
Decentralized and Optimal Resource Cooperation in Geo-Distributed Mobile Cloud Computing - [2018]
Dynamic tasks scheduling based on weighted bi-graph in Mobile Cloud Computing - [2018]
Economic and Energy Considerations for Resource Augmentation in Mobile Cloud Computing - [2018]
Edge server placement in mobile edge computing - [2018]
Edge-of-things computing framework for cost-effective provisioning of healthcare data - [2018]
Energy-Efficient Decision Making for Mobile Cloud Offloading - [2018]
Green Cloudlet Network: A Sustainable Platform for Mobile Cloud Computing - [2018]
Joint Computation and Communication Cooperation for Energy-Efficient Mobile Edge Computing - [2018]
Joint Task Offloading and Resource Allocation for Multi-Server Mobile-Edge Computing Networks - [2018]
Joint optimization of data placement and scheduling for improving user experience in edge computing - [2018]
Mobile Edge Computing Resources Optimization: A Geo-Clustering Approach - [2018]
Multi-User Multi-Task Computation Offloading in Green Mobile Edge Cloud Computing - [2018]
Online task scheduling for edge computing based on repeated Stackelberg game - [2018]
Power-Constrained Edge Computing With Maximum Processing Capacity for IoT Networks - [2018]
Price-Based Resource Allocation for Edge Computing: A Market Equilibrium Approach - [2018]
Privacy Preserving Data Aggregation Scheme for Mobile Edge Computing Assisted IoT Applications - [2018]
Resource Provisioning in the Edge for IoT Applications With Multilevel Services - [2018]
Response time optimization for cloudlets in Mobile Edge Computing - [2018]
Task Scheduling in Deadline-Aware Mobile Edge Computing Systems - [2018]
User mobility aware task assignment for Mobile Edge Computing - [2018]
Using Proactive Fault-Tolerance Approach to Enhance Cloud Service Reliability - [2018]
Workload aware VM consolidation method in edge/cloud computing for IoT applications - [2018]
ENORM: A Framework For Edge NOde Resource Management - [2017]
Distributed Multi-Dimensional Pricing for Efficient Application Offloading in Mobile Cloud Computing - [2016]
Optimal Joint Scheduling and Cloud Offloading for Mobile Applications - [2016]
Optimal Cloudlet Placement and User to Cloudlet Allocation in Wireless Metropolitan Area Networks - [2015]
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