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Abstract :Data Processing Units (DPUs) with embedded GPU have the potential to rev- olutionize optical networks functionalities at the edge. Use cases are presented for optical data monitoring with local AI processing and embedded security.

Abstract :The seamless orchestration of resources across the edge-cloud continuum has become a cornerstone in modern critical computing infrastructures. Artificial Intelligence (AI) plays a pivotal role in enabling the fast and efficient management of diverse and demanding workloads. However, maintaining…

Abstract :In distributed environments, data for Machine Learning (ML) applications may be generated from numerous sources and devices, and traverse a cloud-edge continuum via a variety of protocols, using multiple security schemes and equipment types. While ML models typically benefit…

Abstract: We demonstrate the first 92.3-Gbits/s line-rate, end-to-end post-quantum cryptography optical fiber link based on HW accelerators and processing offloading. © 2024The Author(s)

Abstract: In-network function offloading represents a key enabler of the SDN-based data plane programmability to enhance network operation and awareness while speeding up applications and reducing the energy footprint. The offload of network functions exploiting machine learning and artificial intelligence…

Abstract: To reduce the energy consumption of the optical access network supporting the x-haul, this paper proposes a Software Defined Network (SDN) approach that coordinates the 5G TDD pattern and the downstream x-haul transmission for turning ON and OFF selected…

Abstract: The emerging beyond 5G/6G networks come with novel, latency-sensitive and computation- ntensive applications that require en- hanced network performance and infrastructure to meet he expected quality of experience for end users. To cope with this challenge, compu- tation offloading…

Abstract: A proactive approach could bring several advantages in network operations to meet the increasingly strict requirements (e.g., in terms of latency, reliability) of emerging applications (e.g., XR-VR, xURLLC). This paper describes a flexible forecasting platform that provides estimates of…

Abstract—This paper investigates the performance of scalable user-centric (UC) distributed massive multiple-input multipleoutput (D-mMIMO) systems, widely known in the literature as cell-free mMIMO, with limited processing capacity. Specifically, it is assumed that the computational complexity (CC) of performing channel estimation…