Publications

Following the emergence of Internet of Things (IoT) and edge computing technologies and the development of distributed applications with strict Quality of Service (QoS) requirements, a transition is underway from centralized computing models to distributed computing continuum systems. The latter…

5G and cloud computing are set out to address various business needs, often related to the deployment of IoT-enabled applications across the compute continuum. However, the provision of such hyper-distributed applications is far from trivial, due to various interoperability and convergence aspects…

With the adoption of robots growing in several industrial sectors (e.g., logistics, healthcare, agriculture) comes the experience that in "robotic applications" robots are but components of larger distributed systems and, despite their specific requirements and assumptions, should be integrated…

The field of Tiny Machine Learning (TinyML) has made substantial advancements in democratizing machine learning on lowfootprint devices, such as microcontrollers. The prevalence of these miniature devices raises the question of whether aggregating their knowledge can benefit TinyML applications.…

Tiny machine learning (TinyML) is a rapidly growing field aiming to democratize machine learning (ML) for resource-constrained microcontrollers (MCUs). Given the pervasiveness of these tiny devices, it is inherent to ask whether TinyML applications can benefit from aggregating their knowledge.…

In order to fulfill the stringent requirements and fast advancements of 5G and beyond applications, it is inevitable to develop research/industrial testbeds to examine the different proposed innovative features of 5G and beyond. In this paper, we propose a testbed including 5G and beyond…

Low-Power Wide-Area Networks (LPWAN) are a type of wireless communication technologies that enable efficient data transfer between low-power devices. This article explores the challenges of ensuring security in LPWANs and proposes a solution that combines two key mechanisms: Object Security for…

Network Function Virtualization (NFV) opens us great opportunities for network processing with higher resource efficiency and flexibility. In this respect, there is an increasing need for intelligent orchestration mechanisms, such that NFV can exploit its potential and live up to its promise.…

Network Function Virtualization (NFV) has paved the way for the migration of Virtual Network Functions (VNFs) into multi-tenant datacenters, lowering the barrier for the introduction of new processing functionality into the network. Recent trends for resource orchestration across the entire compute…

In-band network telemetry (INT), empowered by programmable dataplanes such as P4, comprises a viable approach to network monitoring and telemetry analysis. However, P4-INT as well as other existing frameworks for INT yield a substantial transmission overhead, which grows linearly with the number of…