Task scheduling in cloud computing can directly affect the resource usage and operational
cost of a system. To improve the efficiency of task executions in a cloud, various …

As one of the hot issues in cloud computing, task scheduling is an important way to meet
user needs and achieve multiple goals. With the increasing number of cloud users and …

In order to solve the shortcomings of ant colony algorithm in solving large-scale task
scheduling problems in cloud computing, the convergence speed is slow and easy to fall …

Nowadays, we live an unprecedented evolution in cloud computing technology that
coincides with the development of the vast amount of complex interdependent data which …

Cloud computing has emerged as an effective system for rendering services to the user with
the help of available resources. This creates a massive workload on the resources, which …

This study is to explore the optimization of the adaptive genetic algorithm (AGA) in the
backpropagation (BP) neural network (BPNN), so as to expand the application of the BPNN …

Metaheuristic algorithms can be very successful in solving scheduling problems. However,
these methods can be slow for time-critical applications due to the iterative stochastic …

Task scheduling in cloud computing is a key component that affects the resource usage and
operating costs of the system. In order to promote the efficiency of task executions in the …

Edge cloud is a cloud computing system built on edge infrastructure. Task scheduling
optimization is the key technology to ensure the quality of service in edge cloud. However …

The traditional cloud computing task offloading algorithm consumes abundant energy in task
scheduling, which results in a longer average task waiting time. For this reason, a cloud …