Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …

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

The advances of Machine Learning (ML) have sparked a growing demand of ML-as-a-
Service: developers train ML models and publish them in the cloud as online services to …

Cloud computing environments allow customers to dynamically scale their applications. The
key problem is how to lease the right amount of resources, on a pay-as-you-go basis …

Web application providers have been migrating their applications to cloud data centers,
attracted by the emerging cloud computing paradigm. One of the appealing features of the …

Automatic decision-making approaches, such as reinforcement learning (RL), have been
applied to (partially) solve the resource allocation problem adaptively in the cloud computing …

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

Cloud computing is undeniably becoming the main computing and storage platform for
today's major workloads. From Internet of things and Industry 4.0 workloads to big data …

Fog computing (FC) can be considered as a computing paradigm which performs Internet of
Things (IoT) applications at the edge of the network. Recently, there is a great growth of data …

Cloud applications are becoming more containerized in nature. Develo** a cloud
application based on a microservice architecture imposes different challenges including …