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Related papers: Degeneracy-Aware Functional and Algorithmic Resili…

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Degeneracy is the ability of structurally different elements to perform the same function or yield the same output under certain constraints. In contrast to redundancy, which implies identical backups, degeneracy allows diverse components…

Networking and Internet Architecture · Computer Science 2025-06-26 Indrakshi Dey , Nicola Marchetti

Robustness, the insensitivity of some of a biological system's functionalities to a set of distinct conditions, is intimately linked to fitness. Recent studies suggest that it may also play a vital role in enabling the evolution of species.…

Adaptation and Self-Organizing Systems · Physics 2011-12-15 James M Whitacre , Axel Bender

6G must be designed to withstand, adapt to, and evolve amid prolonged, complex disruptions. Mobile networks' shift from efficiency-first to sustainability-aware has motivated this white paper to assert that resilience is a primary design…

The capacity to adapt can greatly influence the success of systems that need to compensate for damaged parts, learn how to achieve robust performance in new environments, or exploit novel opportunities that originate from new technological…

Adaptation and Self-Organizing Systems · Physics 2011-12-15 James Whitacre , Axel Bender

Serial-parallel redundancy is a reliable way to ensure service and systems will be available in cloud computing. That method involves making copies of the same system or program, with only one remaining active. When an error occurs, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-08 Gutha Jaya Krishna

Resilience is meant as the capability of a networked infrastructure to provide its service even if some components fail: in this paper we focus on how resilience depends both on net-wide measures of connectivity and the role of a single…

Social and Information Networks · Computer Science 2020-06-29 Antonio Candelieri , Ilaria Giordani , Andrea Ponti , Francesco Archetti

Task-trained recurrent neural networks (RNNs) are widely used in neuroscience and machine learning to model dynamical computations. To gain mechanistic insight into how neural systems solve tasks, prior work often reverse-engineers…

Machine Learning · Computer Science 2026-02-11 Ann Huang , Satpreet H. Singh , Flavio Martinelli , Kanaka Rajan

Degeneration and adaptation are two competing sides of the same coin called resilience in the progressive processes of brain aging or diseases. Degeneration accumulates during brain aging and other cerebral activities, causing structural…

The increasing reliance on AI-driven 5G/6G network infrastructures for mission-critical services highlights the need for reliability and resilience against sophisticated cyber-physical threats. These networks are highly exposed to novel…

The explosive growth of Internet of Things (IoT) devices has strained traditional cloud infrastructures, highlighting the need for low-latency and energy-efficient alternatives. Fog computing addresses this by placing computation near the…

Networking and Internet Architecture · Computer Science 2026-01-01 Negin Doostar , Mohammad Reza Heidarpour , Amir Khorsandi

Resilience is defined as the ability of a network to resist, adapt, and quickly recover from disruptions, and to continue to maintain an acceptable level of services from users' perspective. With the advent of future radio networks,…

Machine Learning · Computer Science 2024-07-26 Soumeya Kaada , Dinh-Hieu Tran , Nguyen Van Huynh , Marie-Line Alberi Morel , Sofiene Jelassi , Gerardo Rubino

Exceptions and errors occurring within mission critical applications due to hardware failures have a high cost. With the emerging Next Generation Platforms (NGPs), the rate of hardware failures will likely increase. Therefore, designing our…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-22 Nikunj Gupta , Jackson R. Mayo , Adrian S. Lemoine , Hartmut Kaiser

Due to the growing complexity of modern data centers, failures are not uncommon any more. Therefore, fault tolerance mechanisms play a vital role in fulfilling the availability requirements. Multiple availability models have been proposed…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-26 Otto Bibartiu , Frank Dürr , Kurt Rothermel , Beate Ottenwälder , Andreas Grau

The problem of detecting and identifying sensor faults is critical for efficient, safe, regulatory-compliant and sustainable operations of modern systems. Their increasing complexity brings new challenges for the Sensor Fault Detection and…

Signal Processing · Electrical Eng. & Systems 2019-09-06 David Haldimann , Marco Guerriero , Yannick Maret , Nunzio Bonavita , Gregorio Ciarlo , Marta Sabbadin

Neural networks are powerful functions with widespread use, but the theoretical behaviour of these functions is not fully understood. Creating deep neural networks by stacking many layers has achieved exceptional performance in many…

Machine Learning · Computer Science 2024-08-16 Cameron Jakub , Mihai Nica

Digital libraries curate millions of research software artefacts yet lack scalable infrastructure for assessing whether those artefacts remain executable. Existing automated assessment tools treat static repository completeness -- what a…

Software Engineering · Computer Science 2026-05-14 Sheeba Samuel , Daniel Mietchen , Jungsan Kim , Waqas Ahmed , Martin Gaedke

The future sixth generation (6G) of communication systems is envisioned to provide numerous applications in safety-critical contexts, e.g., driverless traffic, modular industry, and smart cities, which require outstanding performance, high…

Information Theory · Computer Science 2023-10-26 Robert-Jeron Reifert , Stefan Roth , Alaa Alameer Ahmad , Aydin Sezgin

This paper focuses on network resilience to perturbation of edge weight. Other than connectivity, many network applications nowadays rely upon some measure of network distance between a pair of connected nodes. In these systems, a metric…

Data Structures and Algorithms · Computer Science 2019-02-06 Lan N. Nguyen , My T. Thai

This paper proposes a pilot-aware, degeneracy-driven Agent-Based Modelling (ABM) framework for distributed resource allocation in RSMA-enabled multi-user MIMO systems under imperfect Channel State Information (CSI) and residual Successive…

Signal Processing · Electrical Eng. & Systems 2026-05-06 Sayanti Ghosh , Indrakshi Dey , Nicola Marchetti

The disaggregation of base stations into discrete RAN functions introduces new threats to mobile networks, as failures in one RAN function can trigger cascading failures and disrupt the entire functional chain, impacting network performance…

Networking and Internet Architecture · Computer Science 2025-11-12 Gabriel M. Almeida , Jacek Kibiłda , Joao F. Santos , Kleber Vieira Cardoso
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