Elasticity is a fundamental property in cloud computing that has recently witnessed major
developments. This article reviews both classical and recent elasticity solutions and …

Cloud computing is now a well-consolidated paradigm for on-demand services provisioning
on a pay-as-you-go model. Elasticity, one of the major benefits required for this computing …

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

Approaches are provided for answering an inquiry of a cognitive distributed network. An
approach includes receiving the inquiry at the cognitive distributed network. The approach …

Task scheduling in cloud computing environments is a multi-objective optimization problem,
which is NP hard. It is also a challenging problem to find an appropriate trade-off among …

Today, many commercial and private cloud computing providers offer resources for leasing
under the infrastructure as a service (IaaS) paradigm. Although an abundance of …

Delivering Internet-scale services and IT-enabled capabilities as computing utilities has
been made feasible through the emergence of Cloud environments. While current …

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 …

Many predictive resource scaling approaches have been proposed to overcome the
limitations of the conventional reactive approaches most often used in clouds today. In …

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