The accurate prediction of the future workload, such as the job arrival rate and the user
request rate, is critical to the efficiency of resource management and elasticity in the cloud …

Accurate prediction of future incoming workloads to cloud applications, such as future user
request count, is critical to proactive auto-scaling, and in general, critical to the cost …

As a widely used IT service, more and more companies shift their services to cloud
datacenters. It is important for cloud service providers (CSPs) to provide cloud service …

A few years ago, cloud computing had widely altered the way of computation and storage. It
is quite challenging for cloud service providers to maintain the required quality of service …

The precise estimation of resource usage is a complex and challenging issue due to the
high variability and dimensionality of heterogeneous service types and dynamic workloads …

Workload estimation and prediction has become a very relevant research area in the field of
cloud computing. The reason lies in its many benefits, which include QoS (Quality of …

Accurately forecasting workloads can enable web service providers to achieve proactive
runtime management for applications and ensure service quality and cost efficiency. For …

Cloud computing has transformed the means of computing in recent years with several
benefits over traditional systems, like scalability and high availability. However, there are still …

Resource provisioning for cloud computing necessitates the adaptive and accurate
prediction of cloud workloads. However, the existing methods cannot effectively predict the …

Cloud computing has been widely adopted by many companies and government entities. To
ensure high quality computing resource provisioning, cloud platforms should offer smart …