The hindrances to the adoption of public cloud computing services include service reliability,
data security and privacy, regulation compliant requirements, and so on. To address those …

We present an intelligent workload factoring service for enterprise customers to make the
best use of public cloud services along with their privately-owned (legacy) data centers. It …

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 …

Predictive cloud resource management has been widely adopted to overcome the
limitations of reactive cloud autoscaling. The predictive resource management is highly …

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 …

The Internet of Things is an emerging technology used in cloud computing and provides
many services of the cloud. The cloud services users mostly suffer from service delays and …

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 …

Scaling complex distributed systems such as e-commerce is an importance practice to
simultaneously achieve high performance and high resource efficiency in the cloud. Most …

Many predictive approaches have been proposed to overcome the limitations of reactive
autoscaling on clouds. These approaches leverage workload predictors that are usually …

With the rapid development of cloud systems, an increasing number of service workloads
are deployed in the private cloud and/or public cloud. Although large cloud providers such …