Intent-based networking aims at achieving automated network management by allowing users to express desired outcomes rather than manually configure network resources. In this poster paper, by means of an example, we illustrate our proposal for a …
**MultiDIPS** is an extension of [DIPS](https://github.com/di-unipi-socc/dips) that allows to
model and process **_multiple_** VNF-based service provisioning intents.
This article proposes an approach to the data-aware multi-service application placement problem in Cloud-Edge settings. We propose both declarative programming and a Mixed-Integer Linear Programming (MILP) approach to determine eligible placements …
**EdgeWise** shows a declarative programming and a Mixed-Integer Linear Programming (MILP) approach to determine eligible placements that minimise operational costs and reduce the number of used nodes to contain the amount of data transfers. After assessing the performance of both approaches, it reconcile them into a methodology that combines the best of the two worlds by exploiting a declarative pre-processing step to boost the MILP solver while determining optimal solutions.
Intent-based Networking (IBN) aims at simplifying network configuration and management by using high-level objectives that express the desired state of the network rather than the details of how to implement it. In this article, we propose a …
**DIPS** enables users (i.e. application providers) to specify their desired VNF chain requirements
in a high-level language that captures their intent, such as the type of service to be provided,
possible location constraints (e.g. at the edge), Quality of Service (QoS) (e.g. latency and bandwidth),
but also non-functional requirements (e.g. privacy and logging).
Nowadays billions of devices are connected to the Internet of Things and can reach computing facilities along the Cloud-IoT continuum to process the data they produce, leading to a dramatic increase in the number of deployed applications as well as …
With the widespread adoption of the Internet of Things (IoT), billions of devices are now connected to the Internet and can reach computing facilities along the Cloud-IoT continuum to process the data they produce. This has led to a dramatic increase …
**DAPlacer** proposes a declarative solution that accounts for (non-)functional aspects so as
to determine service placements and SDN data routings that meet all application requirements.
Such a solution employs a Prolog reasoner and continuous reasoning to speed-up placement and routing decisions at runtime.
We present a declarative solution to determine, in a data-aware manner, application service placements and SDN data routings over Cloud-IoT infrastructures while meeting functional (software, hardware, IoT) and non-functional (security, latency, …