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 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 …

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 …

Recent leading approaches to semantic segmentation rely on deep convolutional networks
trained with human-annotated, pixel-level segmentation masks. Such pixel-accurate …

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 …

Resource management in a cloud environment is a hard problem, due to: the scale of
modern data centers; the heterogeneity of resource types and their interdependencies; the …

Despite the increasing popularity of cloud services, ensuring the security and availability of
data, resources and services remains an ongoing research challenge. Distributed denial of …

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

Recent years have seen the massive migration of enterprise applications to the cloud. One
of the challenges posed by cloud applications is Quality-of-Service (QoS) management …

We present fundamental challenges for scalable and dependable service platforms and
architectures that enable flexible and dynamic provisioning of cloud services. Our findings …