Monica Karel Huerta - Academia.edu (original) (raw)
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Papers by Monica Karel Huerta
IEEE Workshop on Local and Metropolitan Area Networks, 2004
Multicommodity network flows models are computationally challenging due to the large dimension of... more Multicommodity network flows models are computationally challenging due to the large dimension of real instances, as those from the fields of telecommunications specifically in multiprotocol label switching (MPLS). MPLS extends the IP destination based routing protocols to provide a new and scalable routing capabilities in connectionless networks using a relatively simple packet forwarding mechanism. MPLS networks carry traffic on virtual connections called label switched path (LSP). This paper considers the distributed D-LSP mechanism, each sub-LSP is set up on a different node-disjoint route. We propose an analytical method that allows minimizing the spare bandwidth using the optimization multicommodity flows technique, specifically applying the reformulation with path flows. The results show that there is an optimization of the spare bandwidth with distributed LSP mechanism in comparison with conventional LSP.
IEEE International Caracas Conference on Devices, Circuits and Systems, 2004
Multicommodity network flows (MCNF) is a useful tool to solve bandwidth allocation and distributi... more Multicommodity network flows (MCNF) is a useful tool to solve bandwidth allocation and distribution problems on flows over MPLS (multiprotocol label switching) networks. MPLS has emerged as the protocol of the future due to it's true "multiprotocol architecture" nature, where it use a simple label switching mechanism and provide some level of quality of service (QoS) management features through traffic engineering. The objective of this paper is to propose a model based on multicommodity network flows theory to determine the optimal allocation of flows in a label switched path (LSP) at minimal cost. We discuss implementation issues and present some computational results.
IEEE Latin America Transactions, 2007
2012 Global Information Infrastructure and Networking Symposium (GIIS), 2012
2013 IEEE Latin-America Conference on Communications, 2013
2012 IEEE Latin-America Conference on Communications, 2012
… Conference on Telematics …, 2006
In this paper we introduce a novel computational neuron-model, the Neuroid, which is based on thr... more In this paper we introduce a novel computational
neuron-model, the Neuroid, which is based on three basic
operations that are carried out by nerve cells to process the
incoming information, such as comparison, and frequency
pulse modulation-demodulation. The model was implemented
using LabVIEW 10.0, in order to assign to each of these
operations, an execution block (Virtual Instrument). The
results of its implementation showed a very similar behavior to
that exhibited by real neurons. Furthermore, due to its
simplicity and low computational requirements, it is expected
that the Neuroid can be used to create several software models of biological neural systems, either for research or teaching purposes.
IEEE Workshop on Local and Metropolitan Area Networks, 2004
Multicommodity network flows models are computationally challenging due to the large dimension of... more Multicommodity network flows models are computationally challenging due to the large dimension of real instances, as those from the fields of telecommunications specifically in multiprotocol label switching (MPLS). MPLS extends the IP destination based routing protocols to provide a new and scalable routing capabilities in connectionless networks using a relatively simple packet forwarding mechanism. MPLS networks carry traffic on virtual connections called label switched path (LSP). This paper considers the distributed D-LSP mechanism, each sub-LSP is set up on a different node-disjoint route. We propose an analytical method that allows minimizing the spare bandwidth using the optimization multicommodity flows technique, specifically applying the reformulation with path flows. The results show that there is an optimization of the spare bandwidth with distributed LSP mechanism in comparison with conventional LSP.
IEEE International Caracas Conference on Devices, Circuits and Systems, 2004
Multicommodity network flows (MCNF) is a useful tool to solve bandwidth allocation and distributi... more Multicommodity network flows (MCNF) is a useful tool to solve bandwidth allocation and distribution problems on flows over MPLS (multiprotocol label switching) networks. MPLS has emerged as the protocol of the future due to it's true "multiprotocol architecture" nature, where it use a simple label switching mechanism and provide some level of quality of service (QoS) management features through traffic engineering. The objective of this paper is to propose a model based on multicommodity network flows theory to determine the optimal allocation of flows in a label switched path (LSP) at minimal cost. We discuss implementation issues and present some computational results.
IEEE Latin America Transactions, 2007
2012 Global Information Infrastructure and Networking Symposium (GIIS), 2012
2013 IEEE Latin-America Conference on Communications, 2013
2012 IEEE Latin-America Conference on Communications, 2012
… Conference on Telematics …, 2006
In this paper we introduce a novel computational neuron-model, the Neuroid, which is based on thr... more In this paper we introduce a novel computational
neuron-model, the Neuroid, which is based on three basic
operations that are carried out by nerve cells to process the
incoming information, such as comparison, and frequency
pulse modulation-demodulation. The model was implemented
using LabVIEW 10.0, in order to assign to each of these
operations, an execution block (Virtual Instrument). The
results of its implementation showed a very similar behavior to
that exhibited by real neurons. Furthermore, due to its
simplicity and low computational requirements, it is expected
that the Neuroid can be used to create several software models of biological neural systems, either for research or teaching purposes.