Computing in the Network

Montpetit, Marie‐José; Crespi, Noël

doi:10.1002/9781119765554.ch10

Cited by 5 publications

(2 citation statements)

References 53 publications

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“…Albalawi et al [18] propose In-Network Computing Architecture (INCA) to support the joint optimization of networking and computation within the network, empowering appropriate placement of workloads on network devices to ful ill both the application requirements and the optimization of the network resources. The authors in [19] investigate the state-of-the-art of COIN and how edge-cloud continuum should evolve to reap the capabilities of COIN for supporting 6G era applications. Pham et al [20] advocate the integration of COIN with edge computing and AI to enable aerial computing in 6G.…”

Section: Academia's Perspectivesmentioning

confidence: 99%

6G System architecture: A service of services vision

Taleb¹,

Benza�d²,

López³

et al. 2022

ITU J-FET

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The architectures of mobile networks have seen an unprecedented techno-economic transformation, fusing the telcommunications world within the cloud world, adding the spices of Software Engineering to the overall system design, and ultimately yielding the concept of Telco Cloud. This has brought significant benefits in terms of reducing expenditure and operational costs, flexibility in deployment, and a faster time to market. The key enablers are network function virtualization, software-defined networking, and edge/cloud computing. Artificial intelligence is also kicking in this arena. When all these technologies are well integrated, the creation and life-cycle management of fully programmable, flexible, service-tailored, and automated end-to-end network slices/services become possible. This will support diverse 5G and beyond 5G services, spanning from tactile IoT to pervasive robotics and immersive services. This paper introduces an unprecedented and disruptive vision for 6G that shifts the perception of future mobile networks from the old-fashioned concept of "network of networks" towards a new vision of "service of services." The paper then introduces the functional model of the envisioned system architecture, along with its components. It then provides a high-level description of the logical architecture.

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Section: Academia's Perspectivesmentioning

confidence: 99%

6G System architecture: A service of services vision

Taleb¹,

Benza�d²,

López³

et al. 2022

ITU J-FET

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“…Modern distributed systems are composed of elastic serverside processes running in the cloud, consisting of microand nano-services developed with cloud-native technologies and orchestrated at run time. The availability of new orchestration platforms and programming frameworks designed for them is making it possible to perform network computing at line speed [1]. In the fullness of time, this cloud continuum will enable autonomous, highly intelligent systems,including innovative hardware devices [2].…”

Section: Introductionmentioning

confidence: 99%

Multi-Dimensional Certification of Modern Distributed Systems

Anisetti

Ardagna

Bena

2022

IEEE Trans. Serv. Comput.

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Machine Learning (ML) is increasingly used to drive the operation of complex distributed systems deployed on the cloud-edge continuum enabled by 5G. Correspondingly, distributed systems' behavior is becoming more non-deterministic in nature. This evolution of distributed systems requires the definition of new assurance approaches for the verification of non-functional properties. Certification, the most popular assurance technique for system and software verification, is not immediately applicable to systems whose behavior is determined by Machine Learning-based inference. However, there is an increasing push from policy makers, regulators, and industrial stakeholders towards the definition of techniques for the certification of non-functional properties (e.g., fairness, robustness, privacy) of ML. This article analyzes the challenges and deficiencies of current certification schemes, discusses open research issues and proposes a first certification scheme for ML-based distributed systems.

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