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Multi-agent reinforcement learning for vehicular task offloading with multi-step trajectory prediction
With the development of multi-access edge computing (MEC), task offloading has become a promising paradigm to help the resource-constrained vehicles...
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Enhancement in performance of cloud computing task scheduling using optimization strategies
Providing scalable and affordable computing resources has become possible thanks to the development of the cloud computing concept. In cloud...
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A mobility-aware task scheduling by hybrid PSO and GA for mobile edge computing
Mobile edge computing (MEC) is considered one of the key technologies for large-scale network services. Task scheduling helps to improve the task...
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Assignment of Unexpected Tasks in Embedded System Design Process Using Genetic Programming
Embedded systems need to execute some tasks. The designer needed to predict every behaviour of the system. However the problem appears when system...
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Click-Aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation
Post-click Conversion Rate (CVR) prediction task plays an essential role in industrial applications, such as recommendation and advertising....
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A novel service robot assignment approach for COVID-19 infected patients: a case of medical data driven decision making
Coronavirus Disease-19 (COVID-19) is a major concern for the entire world in the current era. Coronavirus is a very dangerous infectious virus that...
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Joint Task Dispatching and Bandwidth Allocation with Hard Deadlines in Distributed Serverless Edge Computing Systems
Serverless computing lifts the burden of infrastructure maintenance from application developers and also reduces the usage cost of cloud/edge...
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Spatiotemporal Task Allocation in Mobile Crowdsensing
With the rich sensing ability and extensive usage of various sensors, mobile crowdsensing (MCS) has become a new paradigm to collect sensing data for...
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Logic programming for deliberative robotic task planning
Over the last decade, the use of robots in production and daily life has increased. With increasingly complex tasks and interaction in different...
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A low redundancy and high time efficiency large-scale task assignment strategy for heterogeneous service-oriented cloud computing systems
With a large number of heterogeneous processors are deployed on service-oriented cloud computing systems, the issue of processor random hardware...
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A new robust Harris Hawk optimization algorithm for large quadratic assignment problems
Harris Hawk optimization (HHO) is a new robust metaheuristic algorithm proposed for the solution of large intractable combinatorial optimization...
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Joint Task Offloading Based on Distributed Deep Reinforcement Learning-Based Genetic Optimization Algorithm for Internet of Vehicles
The growing number of individual vehicles and intelligent transportation systems have accelerated the development of Internet of Vehicles (IoV)...
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Parametric control of quasi-linear second-order systems with partitioned eigenstructure assignment by output feedback
In this paper, a parametric design approach for stabilizing a quasi-linear second-order system with partitioned eigenstructure assignment (PESA) is...
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An optimal task scheduling method in IoT-Fog-Cloud network using multi-objective moth-flame algorithm
Nowadays, cloud and fog computing have been leveraged to enhance Internet of Things (IoT) performance. The outstanding potential of cloud platforms...
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Blockchain-based 6G task offloading and cooperative computing resource allocation study
In the upcoming era of 6G, the accelerated development of the Internet of Everything and high-speed communication is poised to provide people with an...
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Research and optimization of task scheduling algorithm based on heterogeneous multi-core processor
Heterogeneous multi-core processor has the ability to switch between different types of cores to perform tasks, which provides more space and...
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Mayfly Taylor Optimization-Based Graph Attention Network for Task Scheduling in Edge Computing
Multi-access edge computing (MEC) is a technology that enables devices with limited processing capabilities to handle computationally intensive tasks...
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The effect of image-cyclic-based guidance on user's skill enhancement in virtual assembly task
The concept of 2 Dimensional (2D) and 3 Dimensional (3D) are represented by different bodies for diverse applications. The 2D is an old concept of...
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Task scheduling in the internet of things: challenges, solutions, and future trends
The Internet of Things (IoT) paradigm, by transforming physical devices into innovative items, affects every aspect of our daily lives. It has...
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Distributed Task Offloading and Workload Balancing in IoV
MEC is an emerging paradigm to offload computation from the cloud in vehicular networks, aiming at better supporting computation-intensive services...