The use of cloud computing service models is rapidly increasing, but inefficient resource
usage in cloud data centers can lead to great energy consumption and costs. To address …

With the continuous evolution of cloud-native, more and more applications are deployed on
the container. As the business platform runs many container instances and has complex …

Cloud computing service models have experienced rapid growth and inefficient resource
usage is known as one of the greatest causes of high energy consumption in cloud data …

In the modern world, a large number of systems require the use of scaling, the provision
standard for which at present time is orchestration and containerization technologies. In …

Cloud computing has revolutionized the way software, platforms, and infrastructure can be
acquired by making them available as on-demand services that can be accessed from …

High accuracy of resource load prediction can provide basis for real-time task scheduling,
thus reducing energy consumption. Aiming at the problems that the CPU and memory load …

In order to solve the problem of low accuracy in application load prediction, this paper
proposes an application load prediction model based on SA-IPSO-BiLSTM. Firstly, the …