Article
Engineering, Electrical & Electronic
Balazs Vass, Janos Tapolcai, Zalan Heszberger, Jozsef Biro, David Hay, Fernando A. Kuipers, Jorik Oostenbrink, Alessandro Valentini, Lajos Ronyai
Summary: The paper introduces a stochastic model for estimating hazards to an optical backbone network and understanding the complex correlation between possible link failures. It also presents standard data structures and a pre-computation process for efficient computation of cumulative failure probabilities of network elements.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
Balazs Vass, Janos Tapolcai, Erika R. Berczi-Kovacs
Summary: The paper proposed a limited geographic information failure model, which allows for the design of an algorithm that can efficiently compute the set of links that are expected to be close in a network. Under realistic assumptions, the obtained list of SRLGs is short, with approximately 1.2n and 2.2n elements for k = 0 and k = 1, respectively.
IEEE-ACM TRANSACTIONS ON NETWORKING
(2021)
Article
Engineering, Industrial
Radislav Vaisman, Yuting Sun
Summary: The study focuses on assessing the reliability and Birnbaum importance measure of complex networks under the shared link risk group (SRLG) failure scenario. The mathematical complexity of these calculations requires approximation techniques, and the proposed solution builds upon the Permutation Monte Carlo paradigm to provide reliable estimates. The algorithm is easy to implement and scalable to meet real-life network sizes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Computer Science, Information Systems
Milan Simakovic, Zoran Cica
Summary: Modern HFC networks, serving millions of users, require high network access availability, especially with the rise of remote work. The introduction of big data technologies in these networks allows for efficient failure detection and localization.
Article
Computer Science, Artificial Intelligence
Neha Jain, Ashish Payal, Aarti Jain
Summary: In this study, the network performance is analyzed by failing and recovering network links for multiple time durations. Through simulation experiments, this paper provides a practical and realistic analysis of failure recovery and system vulnerability.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Computer Science, Information Systems
Songnong Li, Yao Yan, Yongliang Ji, Wenxin Peng, Lingyun Wan, Puning Zhang
Summary: A link-failure-oriented survivable virtual sensor network mapping algorithm (F-SVNE) is proposed for virtual wireless sensor networks to address link failure issues. The algorithm utilizes fast routing and a multi-path selection algorithm to create a backup route set, reducing delay in fault recovery caused by path selection. It then adopts a survivable virtual sensor network mapping algorithm based on the routing set. In the mapping stage, the algorithm comprehensively considers efficiency and reliability, selecting the path with the largest survival probability to remap the virtual link affected by link failure. Empirical results show that F-SVNE algorithm effectively reduces failure recovery delay and improves long-term average revenue-cost ratio and average failure recovery rate.
Article
Computer Science, Hardware & Architecture
Lei Shi, Yuhua Cheng, Jinliang Shao, Qingchen Liu, Wei Xing Zheng
Summary: This paper proposes a novel method for locating link failures in wireless sensor networks (WSNs) based on distributed cluster consensus protocol and graph decomposition technique. The method is suitable for various situations and provides necessary and sufficient conditions for accuracy. The effectiveness of the proposed method is verified through real and simulation experiments.
IEEE-ACM TRANSACTIONS ON NETWORKING
(2022)
Article
Computer Science, Hardware & Architecture
Amit Biswas, Anil Kumar Tripathi, Samir Aknine
Summary: The torus network topology offers advantages such as high speed, low latency, fairness, and low energy consumption, making it ideal for constructing parallel and distributed systems. Leader election is crucial in coordinating multiple nodes to efficiently complete large tasks.
JOURNAL OF SUPERCOMPUTING
(2021)
Article
Chemistry, Multidisciplinary
Edgar F. Sierra-Alonso, Julian Caicedo-Acosta, Alvaro Angel Orozco Gutierrez, Hector F. Quintero, German Castellanos-Dominguez
Summary: This study introduces an approach to detect incipient failures of rotating machinery's bearings through time-frequency methods and highlights bearing impulsive failures by measuring short-term spectral components. The method proposed in this paper aims to analyze nonstationary signals more efficiently under variable-speed conditions and shows promising results in emphasizing bearing failures with impulse behavior.
APPLIED SCIENCES-BASEL
(2021)
Article
Physics, Multidisciplinary
Pan Qian-Qian, Liu Run-Ran, Jia Chun-Xiao
Summary: This paper investigates the cascading dynamics and robustness of complex networks. It is found that the cascading failures of the networks can be divided into intra-group cascading and inter-group cascading processes. Under the synergistic effects of these two processes, there are continuous and discontinuous phase transition phenomena in the cascade dynamics of the network. By controlling the characteristics of interdependency groups, such as the interdependence strength of the nodes or the size distribution of interdependency groups, the system can avoid sudden collapse and improve network robustness.
ACTA PHYSICA SINICA
(2022)
Article
Computer Science, Software Engineering
Sangwon Hyun, Jiyoung Song, Eunkyoung Jee, Doo-Hwan Bae
Summary: This paper proposes a method to solve collaboration problems between systems by analyzing the failure-inducing interactions, identifying the root causes of failures, and providing corresponding solutions. Experimental results show that this method performs well in pattern mining and clustering accuracy, and is able to accurately localize faults. The findings of this study contribute to the accurate analysis of collaboration failures.
JOURNAL OF SYSTEMS AND SOFTWARE
(2023)
Article
Engineering, Industrial
Choayb Djeddi, Ahmed Hafaifa, Abdelhamid Iratni, Nadji Hadroug, XiaoQi Chen
Summary: The development of new monitoring and diagnostic procedures is essential for modern industry to enhance operational safety and availability. The proposed solution for gas turbine monitoring incorporates an adaptive neural-fuzzy inference system to predict component degradation and achieve high efficiency and reliability.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Camille Delezoide, Petros Ramantanis, Patricia Layec
Summary: This article proposes a reliable and easy-to-deploy method for localizing failures in optical networks. By aggregating raw monitoring data from coherent transponders, strategic insights into network health can be generated.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Nagao Ogino, Takeshi Kitahara
Summary: The paper proposes an approach for computing the required monitoring trails within a specified expected period, allowing for rapid localization of link failures in large-scale managed networks. Random walk-based analysis estimates the number of monitoring trails needed, and a lightweight method is used to achieve partial localization before obtaining an unambiguous set of monitoring trails for the entire network.
IEICE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Ha-Rang Jo, Youngjong Ko, Kyo-Beum Lee
Summary: This paper analyzes the influence of open-switch failures on DC-link capacitors in hybrid ANPC inverters, demonstrating how the failures cause current harmonic distortion and affect capacitor loss and lifetime. Simulation and experimental results illustrate the effects of various open-switch failure scenarios on DC-link capacitors in terms of current harmonics and lifetime.
JOURNAL OF POWER ELECTRONICS
(2021)
Article
Computer Science, Hardware & Architecture
Alija Pasic, Peter Babarczi, Janos Tapolcai, Erika R. Berczi-Kovacs, Zoltan Kiraly, Lajos Ronyai
IEEE-ACM TRANSACTIONS ON NETWORKING
(2020)
Article
Computer Science, Hardware & Architecture
Balazs Vass, Laszlo Nemeth, Janos Tapolcai
Article
Computer Science, Information Systems
Peter Babarczi, Markus Kluegel, Alberto Martinez Alba, Mu He, Johannes Zerwas, Patrick Kalmbach, Andreas Blenk, Wolfgang Kellerer
COMPUTER COMMUNICATIONS
(2020)
Article
Computer Science, Hardware & Architecture
Janos Tapolcai, Lajos Ronyai, Balazs Vass, Laszlo Gyimothi
IEEE-ACM TRANSACTIONS ON NETWORKING
(2020)
Article
Computer Science, Information Systems
Ferenc Mogyorosi, Alija Pasic, Richard Cziva, Peter Revisnyei, Zsolt Kenesi, Janos Tapolcai
Summary: This article proposes a new protection scheme for backbone networks that utilizes Machine Learning to implement network intelligence and achieve a proactive approach to service availability without the need for reserved backup network resources. By reallocating unused capacity as protection bandwidth, the scheme aims to improve availability without affecting operational connections or the over-provisioning of network bandwidth.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Balazs Vass, Janos Tapolcai, Zalan Heszberger, Jozsef Biro, David Hay, Fernando A. Kuipers, Jorik Oostenbrink, Alessandro Valentini, Lajos Ronyai
Summary: The paper introduces a stochastic model for estimating hazards to an optical backbone network and understanding the complex correlation between possible link failures. It also presents standard data structures and a pre-computation process for efficient computation of cumulative failure probabilities of network elements.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
Balazs Vass, Janos Tapolcai, Erika R. Berczi-Kovacs
Summary: The paper proposed a limited geographic information failure model, which allows for the design of an algorithm that can efficiently compute the set of links that are expected to be close in a network. Under realistic assumptions, the obtained list of SRLGs is short, with approximately 1.2n and 2.2n elements for k = 0 and k = 1, respectively.
IEEE-ACM TRANSACTIONS ON NETWORKING
(2021)
Article
Computer Science, Information Systems
Peter Babarczi
Summary: This paper focuses on the survivability of the control plane in virtual software-defined networks (vSDN) and proposes two contributions: an approximation algorithm for hypervisor placement and a general dynamic program for calculating minimum length paths. Thorough simulations on real-world topologies demonstrate the effectiveness of the proposed approaches in different scenarios.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Sandor Z. Kiss, Eva Hosszu, Janos Tapolcai, Lajos Ronyai, Ori Rottenstreich
Summary: This article discusses the importance of Bloom filters and their variants in networking applications, and introduces a new data structure called EGH filter that guarantees false positive-free operations. The EGH filter supports Bloom filter operations and ensures real-time false positive-free operations within a limited universe and restricted number of elements stored.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Ferenc Mogyorosi, Peter Babarczi, Johannes Zerwas, Andreas Blenk, Alija Pasic
Summary: This paper proposes a latency-aware dual hypervisor placement and control path design method, which protects against single-link and hypervisor failures and is ready for unknown future changes.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Peter Babarczi, Gabor Retvari, Lajos Ronyai, Janos Tapolcai
Summary: This paper focuses on the problem of routing along the shortest pairs of disjoint paths over the currently deployed link-state routing architecture. By proposing an efficient tag encoding scheme, it enables multi-path routing in the network without the need for extensive network overhaul.
2022 IFIP NETWORKING CONFERENCE (IFIP NETWORKING)
(2022)
Article
Computer Science, Information Systems
Alija Pasic, Rita Girao-Silva, Ferenc Mogyorosi, Balazs Vass, Teresa Gomes, Peter Babarczi, Peter Revisnyei, Janos Tapolcai, Jacek Rak
Summary: This paper introduces a new framework focusing on resilience against natural disasters, targeting network planning, failure modeling, and survivable routing. It proposes a two-stage approach to optimize availability upgrade cost by upgrading a sub-network to achieve the targeted availability threshold. The framework also includes a new integer linear program for disaster-resilient network planning and an efficient heuristic scheme to reduce running time.
Proceedings Paper
Computer Science, Hardware & Architecture
Alberto Martinez Alba, Peter Babarczi, Andreas Blenk, Mu He, Patrick Kalmbach, Johannes Zerwas, Wolfgang Kellerer
Summary: The paper introduces a comprehensive cost model for a flexible network, taking into account its transient and stationary phases. This model enables network researchers and operators to qualitatively discuss new flexible network solutions and analyze their costs quantitatively for the first time.
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2021)
(2021)
