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Retrial Queues with Unreliable Servers and Delayed Feedback [PDF]
Mathematics, 2021 In this paper, models of unreliable multi-server retrial queues with delayed feedback are examined. The Bernoulli retrial is allowed upon the arrival of both primary (from outside) and feedback customers (from orbit), as well as the Bernoulli feedback ...
János Sztrik +2 more
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Performance evaluation of unreliable system with infinite number of servers [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2020 In the paper, we investigate queueing system M/G/∞ with non–homogeneous customers. As non–homogenity, we mean that each customer is characterized by some arbitrarily distributed random volume.
O. Tikhonenko, M. Ziółkowski
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Hybrid Machine Learning-Based Fault-Tolerant Sensor Data Fusion and Anomaly Detection for Fire Risk Mitigation in IIoT Environment [PDF]
SensorsIn the oil and gas IIoT environment, fire detection systems heavily depend on fire sensor data, which can be prone to inaccuracies due to faulty or unreliable sensors. These sensor issues, such as noise, missing values, outliers, sensor drift, and faulty
Jayameena Desikan +5 more
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BFLAFD: blockchain-enabled federated learning framework for adaptive fire detection in IIoT networks [PDF]
Scientific ReportsThe Industrial Internet of Things (IIoT) is a network of interconnected sensors, devices, and control systems in the oil and gas sectors that has been developed to make the industries automated and continuously monitored. However, there are challenges in
Jayameena Desikan +3 more
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Trust-Aware Scheduling for Edge Computing With Task Dependencies and Unreliable Servers
IEEE Access, 2023 Volunteer Edge Computing (VEC) is a promising solution for addressing the challenge of high round-trip latency in traditional cloud computing systems. Leveraging distributed computing resources reduces latency and improves performance.
Yousef Alsenani, Abdulaziz S. Alnori
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RPVC: A Revocable Publicly Verifiable Computation Solution for Edge Computing
Sensors, 2022 With publicly verifiable computation (PVC) development, users with limited resources prefer to outsource computing tasks to cloud servers. However, existing PVC schemes are mainly proposed for cloud computing scenarios, which brings bandwidth consumption
Zi Jiao +3 more
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Axioms, 2022 In this paper, a retrial queueing system of the M/M/1 type with Poisson flows of arrivals, impatient customers, collisions, and an unreliable service device is considered.
Elena Danilyuk +3 more
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PLoS ONE, 2021 BackgroundRetraction of published research can reduce the dissemination of incorrect or misleading information, but concerns have been raised about the clarity and rigor of the retraction process.
Geoff Frampton +2 more
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Reputation-Aware Multi-Agent DRL for Secure Hierarchical Federated Learning in IoT
IEEE Open Journal of the Communications Society, 2023 Aiming at protecting device data privacy, Federated Learning (FL) is a framework of distributed machine learning in which devices’ local model parameters are exchanged with a centralized server without revealing the actual data.
Noora Mohammed Al-Maslamani +2 more
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Results in Control and Optimization, 2023 The majority of the studies on queues with failing servers focused on catastrophic failures. Catastrophic failures are actually a particular kind of server failure that causes system clearing.
B. Janani, K.V. Vijayashree
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