Emerging research has proposed new classes of operating systems to support pervasive, Internet-scale, or cross-domain computing. In particular, Internetware OS (from the "Internetware" paradigm), Ubiquitous OS (UOS), and Meta OS are three related concepts. Briefly, Internetware is defined as a paradigm for Internet-based applications that are "autonomous, cooperative, situational, evolvable, and trustworthy". An Internetware OS is an OS designed for such distributed Internetware applications. A Ubiquitous OS is envisioned as an OS that runs everywhere (from tiny IoT devices to cloud) and manages a "software-defined" world of devices and data. A Meta OS typically denotes an OS layer built atop existing OSs to unify heterogeneous resources across networks. These terms overlap, but emphasize different viewpoint.

Towards a flexible Network Operating System Testbed for the Computing Continuum

In recent years, emerging computing paradigms have paved the way for the development of the Computing Continuum, a concept that enables applications to efficiently allocate geo-distributed resources across the network. Despite its potential, fully realizing the Computing Continuum remains a challenge due to the lack of suitable research infrastructures that support experimentation at scale.

To address this gap, we propose a conceptual testbed designed to enhance the replicability, scalability, and robustness of Computing Continuum and network operating system experiments. Our testbed provides a high degree of flexibility by allowing experimenters to modify the operating systems of network equipment and dynamically reconfigure network topologies. To illustrate its versatility, we define three distinct usage scenarios, ranging from multi-operator environments to internal network architectures within telecommunication providers, all of which can be deployed on the proposed network topology. Additionally, this article explores solutions for virtual topology management, operating system deployment, and service orchestration.

Abstract:

In the context of collaborative robotics, robots share the working space with humans and communication between the two parties is of utmost importance. While different modalities can be employed, speech represents a natural way of interaction for people. In this paper, we introduce a speech-based pipeline for collaborative robotics, specifically designed to operate in the context of precision agriculture. The system exploits frame semantics as a modality-independent way of representing information, which allows for easier management of the dialogue between the robot and the human. One of the key features of this pipeline is the utilization of various techniques from Natural Language Processing (NLP) to extract and manage frames.

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