Deploying and managing multi-component IoT applications in Fog computing scenarios is challenging due to the heterogeneity, scale and dynamicity of Fog infrastructures, as well as to the complexity of modern software systems. When deciding on where/how to (re-)allocate application components over the continuum from the IoT to the Cloud, application administrators need to find the best deployment, satisfying all application (hardware, software, QoS, IoT) requirements over the contextually available resources, also trading-o↵ non-functional desiderata (e.g., financial costs, security). This PhD thesis proposal aims at devising models, algorithms and methodologies to support the adaptive deployment and management of Fog applications.
Supporting Application Deployment and Management in Fog Computing
Stefano Forti
2018-01-01
Abstract
Deploying and managing multi-component IoT applications in Fog computing scenarios is challenging due to the heterogeneity, scale and dynamicity of Fog infrastructures, as well as to the complexity of modern software systems. When deciding on where/how to (re-)allocate application components over the continuum from the IoT to the Cloud, application administrators need to find the best deployment, satisfying all application (hardware, software, QoS, IoT) requirements over the contextually available resources, also trading-o↵ non-functional desiderata (e.g., financial costs, security). This PhD thesis proposal aims at devising models, algorithms and methodologies to support the adaptive deployment and management of Fog applications.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
