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 …

Workload prediction is one of the important parts of proactive resource management and
auto-scaling in cloud computing. Accurate prediction of workload in cloud computing is of …

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 …

In order to meet Service Level Agreement (SLA) requirements, efficient scaling of Virtual
Machine (VM) resources must be provisioned few minutes ahead due to the VM boot-up …

Cloud computing provides simple on-demand access to a centralized shared pool of
computing resources. Performance and efficient utilization of cloud computing resources …

This incredibly rapid adoption of Internet of Things (IoT) and e-learning technology, a smart
campus provides many innovative applications, such as ubiquitous learning, smart energy …

Elasticity is the key feature of cloud computing technology, which can automatically reduce
and add resources to meet users' need. In order to achieve elasticity, we should find how …

In this paper we propose a novel reservation plan adaptation system based on machine
learning. In the context of cloud auto-scaling, an important issue is the ability to define and …

Cloud Computing is an essential paradigm of computing services based on the “elasticity”
property, where available resources are adapted efficiently to different workloads overtime …

Cloud computing has brought a paradigmatic shift in providing data storage as well as
computing resources. With the ever-increasing demand for cloud computing, the number of …