Mobile edge computing (MEC) and fog are emerging computing models that extend the
cloud and its services to the edge of the network. The emergence of both MEC and fog …

The rapid adoption and the diversification of cloud computing technology exacerbate the
importance of a sound experimental methodology for this domain. This work investigates …

Modern distributed applications offer complex performance behavior and many degrees of
freedom regarding deployment and configuration. Researchers employ various methods of …

Containers are shaping the new era of cloud applications due to their key benefits such as
lightweight, very quick to launch, consuming minimum resources to run an application which …

Presently, the cloud computing environment attracts many application developers to deploy
their web applications on cloud data centers. Kubernetes, a well-known container …

Auto-scalers for clouds promise stable service quality at low costs when facing changing
workload intensity. The major public cloud providers provide trigger-based auto-scalers …

Kubernetes-based containerized applications heavily rely on distributing network workloads
among cluster applications, primarily because of the frequent resource requests and limited …

Data stream processing is an attractive paradigm for analyzing IoT data at the edge of the
Internet before transmitting processed results to a cloud. However, the relative scarcity of fog …

With the rapid development of 5G technology, the need for a flexible and scalable real-time
system for data processing has become increasingly important. By predicting future resource …

Nowadays, in order to keep track of the fast changing requirements of Internet applications,
auto-scaling is used as an essential mechanism for adapting the number of provisioned …