Results 251 to 260 of about 22,359 (313)

Unreliable M ^[X]/G(P1,P2)/1 feedback retrial queues with combined working vacation. [PDF]

Heliyon
S B, M C S.
europepmc   +1 more source

Enhancing patient admission efficiency through a hybrid cloud framework for medical record sharing. [PDF]

Sci Rep
Abughazalah M, Alsaggaf W, Saifuddin S, Sarhan S.   +3 more
europepmc   +1 more source

D2D assisted cooperative computational offloading strategy in edge cloud computing networks. [PDF]

Sci Rep
Wang Y, Kong D, Chai H, Qiu H, Xue R, Li S.   +5 more
europepmc   +1 more source

Comparing Statistical and Machine Learning Methods for Time Series Forecasting in Data-Driven Logistics-A Simulation Study. [PDF]

Entropy (Basel)
Schmid L, Roidl M, Kirchheim A, Pauly M.
europepmc   +1 more source

Transient GI/MSP/1/N Queue. [PDF]

Entropy (Basel)
Chydzinski A.
europepmc   +1 more source

5G/6G Networks for Wireless Communication and IoT. [PDF]

Sensors (Basel)
Suraci C, Araniti G.
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Analysis of the M/GI/1 -> ./M/1 Queueing model.

Iasnogorodski, R., Blanc, J.P.C., Nain, P.   +2 more
core  

From Gatekeepers to Gateways: How Acceleration and Platform Logic Reshape Life‐Science Journals

Learned Publishing, Volume 39, Issue 3, July 2026.
Maria Teresa Colangelo, Marco Meleti, Carlo Galli   +2 more
wiley   +1 more source

Optimizing Flow Rates in a Queueing Network with Side Constraints.

Pourbabai, B., Blanc, J.P.C., Duyn Schouten, F.A. van der   +2 more
core  

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On Episodic Queues

SIAM Journal on Matrix Analysis and Applications, 1997
Summary: For a queueing system with a low traffic intensity, the expected number of customers in the queue is small. However, with a bursty input process, long queues may build up in a short time. We study light traffic queueing systems with bursty input processes. We study the distributions of queue lengths, waiting times, busy and active periods, and
Qi-Ming He, Marcel F. Neuts
openaire   +1 more source