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Analysis of bulk service queuing system with rework, unreliable server, resuming service and two kinds of multiple vacation [PDF]
Yugoslav Journal of Operations Research, 2023 In this paper, we discuss a batch arrival bulk service queue with rework for the faculty item, possibility of breakdown, repair, and two kinds of multiple vacation with different threshold policy.
Karpagam S.
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Analysis and Comparison of Queue with N-Policy and Unreliable Server
Discrete Dynamics in Nature and Society, 2020 This work considers a queueing system with N-policy and unreliable server, where potential customers arrive at the system according to Poisson process. If there is no customer waiting in the system, instead of shutting down, the server turns into dormant
Qing Ma, Xuelu Zhang
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Entropy Analysis of a Flexible Markovian Queue with Server Breakdowns
Entropy, 2020 In this paper, a versatile Markovian queueing system is considered. Given a fixed threshold level c, the server serves customers one a time when the queue length is less than c, and in batches of fixed size c when the queue length is greater than or ...
Messaoud Bounkhel +2 more
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Simulation of the performance of CognitiveRadio Networks with unreliable servers
Annales Mathematicae et Informaticae, 2020 Summary: This paper deals with a Cognitive Radio Network (CRN) which is modeled using a retrial queuing system with two finite-sources. This network includes two non-independent service units treating two types of users: Primary Users (PU) and Secondary Users (SU).
Zaghouani, Mohamed Hedi +2 more
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Ratio Mathematica, 2021 This manuscript analyses a queueing system with Bernoulli schedule feedback of customers, unreliable waiting server under differentiated vacations. The unsatisfied customer may again join the queue with probability α, following Bernoulli schedule.
Rajni Gupta, Sangeeta Malik
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Privacy-preserving federated learning framework with dynamic weight aggregation
网络与信息安全学报, 2022 There are two problems with the privacy-preserving federal learning framework under an unreliable central server.① A fixed weight, typically the size of each participant’s dataset, is used when aggregating distributed learning models on the central ...
Zuobin YING, Yichen FANG, Yiwen ZHANG
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Steady-State Analysis of a Flexible Markovian Queue with Server Breakdowns
Entropy, 2019 A flexible single-server queueing system is considered in this paper. The server adapts to the system size by using a strategy where the service provided can be either single or bulk depending on some threshold level c.
Messaoud Bounkhel +2 more
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A quorum queueing system with an unreliable server
Applied Mathematics Letters, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lotfi Tadj, Gautam Choudhury
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Improving Security of Web Servers in Critical IoT Systems through Self-Monitoring of Vulnerabilities
Sensors, 2022 IoT (Internet of Things) systems are complex ones that may comprise large numbers of sensing and actuating devices; and servers that store data and further configure the operation of such devices.
Linxuan Song, Marisol García-Valls
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IEEE Access, 2022 The distributed inference (DI) framework has gained traction as a technique for real-time applications empowered by cutting-edge deep machine learning (ML) on resource-constrained Internet of things (IoT) devices. In DI, computational tasks are offloaded
Sohei Itahara +3 more
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