Continuous integration enables the development of microservices-based applications using
container virtualization technology. Container orchestration systems such as Kubernetes …

As cloud services expand, the need to improve the performance of data center infrastructure
becomes more important. High-performance computing, advanced networking solutions …

In many public and private Cloud systems, users need to specify a limit for the amount of
resources (CPU cores and RAM) to provision for their workloads. A job that exceeds its limits …

Kubernetes, an open-source container orchestration platform, enables high availability and
scalability through diverse autoscaling mechanisms such as Horizontal Pod Autoscaler …

Kubernetes, the container orchestrator for cloud-deployed applications, offers automatic
scaling for the application provider in order to meet the ever-changing intensity of …

Scalability is the ability of a resource or an application to be expanded to handle the
increasing demands. One of the most emphasized aspects of cloud computing is the ability …

The long-held dream of computing as a service was realized with the emergence of cloud
computing. Recently, fog and edge computing have been introduced as extensions of cloud …

Large-scale cloud providers rely on cluster managers for container allocation and load
balancing (eg, Kubernetes), VM provisioning (eg, Protean), and other management tasks …

Big data applications extensively use cache techniques to accelerate data access. A key
challenge for improving cache utilization is provisioning a suitable cache size to fit the …

Nowadays a wide range of applications is constrained by low-latency requirements that
cloud infrastructures cannot meet. Multiaccess Edge Computing (MEC) has been proposed …