Results 221 to 230 of about 11,486,813 (273)

Higher-Order Markov Model-Based Analysis of Reinforcement Learning in 6G Mobile Retrial Queueing Systems. [PDF]

Sensors (Basel)
Talbi D, Gal Z.
europepmc   +1 more source

CoCryoViS: Collaborative online cryo-electron tomography visualization system. [PDF]

Protein Sci
Mena O, Šmajdek U, Zhang W, Yu P, Klein T, Arold ST, Li S, Viola I, Bohak C, Bohak C.   +9 more
europepmc   +1 more source

Modular Adaptive Processing Infrastructure (MAPI): a blueprint for interconnecting generic workflows with modern interfaces. [PDF]

J Synchrotron Radiat
Hafner A, Kourousias G, De Simone M, Pugliese R.   +3 more
europepmc   +1 more source

The BLUE active queue management algorithms

IEEE/ACM Transactions on Networking, 2002
In order to stem the increasing packet loss rates caused by an exponential increase in network traffic, the IETF has been considering the deployment of active queue management techniques such as RED (random early detection) (see Floyd, S. and Jacobson, V., IEEE/ACM Trans. Networking, vol.1, p.397-413, 1993).
Wu-Chi Feng
exaly   +3 more sources

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Active Queue Management: A Survey

IEEE Communications Surveys and Tutorials, 2013
Since its formal introduction to IP networks in 1993 as a viable complementary approach for congestion control, there has been a steady stream of research output with respect to Active Queue Management (AQM). This survey attempts to travel the trajectory of AQM research from 1993 with the first algorithm, Random Early Detection (RED), to current work ...
Richelle Adams
exaly   +2 more sources

The Yellow active queue management algorithm

Computer Networks, 2005
A new rate-based active queue management (AQM) algorithm, called Yellow, is proposed in the paper. Yellow uses the load factor (link utilization) as a main merit to manage congestion. To improve congestion control performance, a queue control function (QCF) is introduced as a secondary merit.
Xinping Guan
exaly   +3 more sources

An adaptive algorithm for active queue management

Journal of Combinatorial Optimization, 2006
This paper proposes an adaptive proportional integral (API) algorithm for active queue management. API uses mean packet loss ratio and mean queue length as control error to adaptively adjust packet drop probability in order to expedite congestion control.
Wang, Chonggang, Lin, Yu, Sohraby, Kazem, Li, Bo   +3 more
openaire   +3 more sources

Remote active queue management

Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video, 2008
Consumers or administrators of small business networks usually cannot directly configure the link which connects their network to their Internet provider. The link setup often provides a sub-optimal configuration for end users' traffic patterns and, at best, favors bulk transfers.
Dan Ardelean, Ethan Blanton, Maxim Martynov   +2 more
openaire   +1 more source