Fog computing aims at extending the Cloud by bringing computational power, storage, and
communication capabilities to the edge of the network, in support of the IoT. Segmentation …

The vendor lock‐in is a prominent issue in cloud computing. It is caused by cloud providers
who offer proprietary services, which hinders the cloud interoperability. Client‐centric …

Deploying composite applications to Fog nodes in a QoS-and context-aware manner is
challenging due to the heterogeneity and scale of Fog infrastructures. Application …

Function-as-a-Service (FaaS) is an attractive cloud computing model that simplifies
application development and deployment. However, current serverless compute platforms …

Large-scale distributed computing environments provide a vast amount of heterogeneous
computing resources from different sources for resource sharing and distributed computing …

IoT-based applications need to be dynamically orchestrated on cloud-edge infrastructures
for reasons such as performance, regulations, or cost. In this context, a crucial problem is …

Kubernetes, a container orchestration tool for automatically installing and managing Docker
containers, has recently begun to support a federation function of multiple Docker container …

With the advent of serverless computing in different domains, there is a growing need for
dynamic adaption to handle diverse and heterogeneous functions. However, serverless …

Connected devices are changing the way we live and work. In the next years, the Internet of
Things (IoT) is expected to bring more and more intelligence around us, being embedded in …

Identifying the best application deployment to distribute application components in Fog
infrastructures–spanning the IoT-to-Cloud continuum–is a challenging task for application …