A5063886508- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Vehicular Ad Hoc Networks (VANETs)
- Metaheuristic Optimization Algorithms Research
- Advanced Clustering Algorithms Research
- Blockchain Technology Applications and Security
- Human Mobility and Location-Based Analysis
- Scheduling and Optimization Algorithms
- Advanced Control Systems Optimization
- Traffic Prediction and Management Techniques
- Energy Efficient Wireless Sensor Networks
- Water Quality Monitoring Technologies
- Underwater Vehicles and Communication Systems
- Internet of Things and AI
- Advanced Neural Network Applications
- Advanced Data Compression Techniques
- IoT Networks and Protocols
Nowadays, mobile devices can run a wide range of programs, and they all require more processing power. Due to their limited resources, often make use cloud computing's offloading features do complex tasks. The problem in Mobile Cloud Computing (MCC) is the task scheduling problem, which entails deciding where dump work maximize its value. MCC an NP-hard because difficulty moving resources size search space required find ideal scheduler, making extensive techniques impractical. For this...
Mobile devices are used by numerous applications that continuously need computing power to grow. Due limited resources for complex computing, offloading, a service offered mobile devices, is commonly in cloud computing. In Cloud Computing (MCC), offloading decides where execute the tasks efficiently maximize benefits. Hence, we represent as Task Scheduling Problem (TSP). This latter Multi-Objective Optimization (MOO) problem goal find best schedule processing source tasks, while minimizing...