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A Novel Traffic Scheduling Algorithm for Multi-CQF Using Mixed Integer Programming and Variable Neighborhood Search Genetic Algorithm in Time-Sensitive Networking. [PDF]
Sensors (Basel)Wang C, Lin Z, Zhao Y, Hu F, Huan Z.
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Real-time monitoring system for early stroke detection based on fog computing and enhanced deep learning techniques. [PDF]
Sci RepMohamed AM +4 more
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TCP BBR-n interplay with modern AQM in Wireless-N/AC networks: Quest for the golden pair. [PDF]
PLoS OneAhsan M, Muhammad SS.
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Optimizing patient flow logistics: strategic challenges, tactical solutions, and future directions. [PDF]
BMC Health Serv ResZamani H, Parvaresh F, Isfahani MN.
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Outpatient Process Transformation and Patient Satisfaction Under New Public Service Theory. [PDF]
Patient Prefer AdherenceCai Z, Wu A, Wang X, Xie H.
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Operational Research, 2021
Now all three of the 742 lecturers (in 2001 at least) have a background in Physics, and Physics is largely about finding mathematical models or descriptions of some physical system or process.
Peter Fenwick
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Now all three of the 742 lecturers (in 2001 at least) have a background in Physics, and Physics is largely about finding mathematical models or descriptions of some physical system or process.
Peter Fenwick
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Queue-dependent servers queueing system
Microelectronics Reliability, 1993Abstract A Markovian queue with number of servers depending upon queue length is discussed. The system starts another server whenever the queue length in front of first server reaches a certain length N. Associating the costs with the opening of a new server and the waiting of the customers, a relationship is developed to obtain the optimum value of ...
R.L. Garg, Paramjit Singh
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Queueing System with Independent Queues and Common Server
IFAC Proceedings Volumes, 1986Abstract An approach is suggested for solving the problem of defining the length of several independent queues in the queueing system (QS) with one server. The initial QS is subjected to decomposition into two separate QS· For each of them analytical solutions are obtained, and for the second QS they are based upon embedded Markov chains. The general
E.M. Mamedli +2 more
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Queueing Syst. Theory Appl., 2011
We consider a heterogeneous queueing system consisting of one large pool of O(r) identical servers, where r→∞ is the scaling parameter. The arriving customers belong to one of several classes which determines the service times in the distributional sense.
D. Gamarnik, A. Stolyar
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We consider a heterogeneous queueing system consisting of one large pool of O(r) identical servers, where r→∞ is the scaling parameter. The arriving customers belong to one of several classes which determines the service times in the distributional sense.
D. Gamarnik, A. Stolyar
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1987
The input (σn, τn, n ∈ Z/) is defined as in §1.1. The system has an infinite reservoir of servers, so that any customer is immediately attended. Therefore, customer n arriving at time Tn leaves at time Tn + σn (service is provided at unit rate).
François Baccelli, Pierre Brémaud
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The input (σn, τn, n ∈ Z/) is defined as in §1.1. The system has an infinite reservoir of servers, so that any customer is immediately attended. Therefore, customer n arriving at time Tn leaves at time Tn + σn (service is provided at unit rate).
François Baccelli, Pierre Brémaud
openaire +1 more source