and new directions, such as optical switching networks and applications in VLSI designs. It provides the state of the art for researchers in computer networks and applied mathematics. Audience: Researchers in computer networks and applied mathematics. The book is appropriate for use in graduate course...
This paper is concerned with a comparison study of three switching techniques used in computer-based communication networks: circuit switching, message (packet) switching, and cut-through switching. Our comparison is based on the delay performance as obtained through analytic models of these techniques...
5 and a user set switch 6, wherein, the single chip computer reads set values selected by the user set switch and signals input by the monitoring circuit to control the network switching circuit and the hard disk switching circuit to exchange data with a computer by a communication interface...
General results on the capacity assignment problem in computer communication networks Proc. IEEE Intern. Symp. on circuits and systems, ISCAS'82, Rome, Italy (May 1982) 10 Mirtinovic Analytic inequalities Springer-Verlag (1970) Google Scholar 11 L Kleinrock Queueing Systems. vol. II: computer ap...
2.Once the connection is established, use it for data transfer (push data in one end of the “wire” and take it out at the other) 3.Release the connection (disconnect) 4. In a virtual circuita preplannedrouteis set forall packets constituting a message. ...
et al. The programmable logic-in-memory (PLiM) computer. IEEE Design, Automation & Test in Europe Conference (DATE) 427–432 (2016); https://infoscience.epfl.ch/record/213465/files/PEG_DATE16.pdf Papandroulidakis, G., Vourkas, I., Vasileiadis, N. & Sirakoulis, G. Ch. Boolean ...
and reproduction in any medium, provided the original work is properly cited. We consider multiagent consensus problems in a decentralized fashion. The interconnection topology among the agents is switching and directed. The agent dynamics is expressed in the form of a double-integrator model. Two ...
Optical nonlinear functions are crucial for various applications in integrated photonics, including all-optical information processing1, photonic neural networks2,3 and on-chip ultrafast light sources4,5. However, the weak native nonlinearity of most nan
Trade-offs between producing costly movements for gathering information (‘explore’) and using previously acquired information to achieve a goal (‘exploit’) arise in a wide variety of problems, including foraging, reinforcement learning and sensorimot
(N, in the case of Fig.3b) causes (i) the potentiation (resistance decrease) of the connecting synapse, Fig.3c, and (ii)the inhibition of all the other neurons by discharging the signals stored in the integration blocks, Fig.2a, asit happens in WTA networks54. Once this procedure is ...