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COMCOM
2006
82views more  COMCOM 2006»
13 years 7 months ago
Traffic engineering with OSPF-TE and RSVP-TE: Flooding reduction techniques and evaluation of processing cost
This paper considers two important aspects related to the control plane of Traffic Engineered IP/MPLS networks: the ``flooding reduction'' mechanisms and the evaluation ...
Stefano Salsano, Alessio Botta, Paola Iovanna, Mar...
TCAD
2010
164views more  TCAD 2010»
13 years 2 months ago
Advanced Variance Reduction and Sampling Techniques for Efficient Statistical Timing Analysis
The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...
Javid Jaffari, Mohab Anis
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
13 years 8 months ago
Objective reduction using a feature selection technique
This paper introduces two new algorithms to reduce the number of objectives in a multiobjective problem by identifying the most conflicting objectives. The proposed algorithms ar...
Antonio López Jaimes, Carlos A. Coello Coel...
DAC
2006
ACM
14 years 8 months ago
Self-calibration technique for reduction of hold failures in low-power nano-scaled SRAM
Increasing source voltage (Source-Biasing) is an efficient technique for reducing gate and sub-threshold leakage of SRAM arrays. However, due to process variation, a higher source...
Swaroop Ghosh, Saibal Mukhopadhyay, Kee-Jong Kim, ...
WSC
2007
13 years 9 months ago
Feasibility study of variance reduction in the logistics composite model
The Logistics Composite Model (LCOM) is a stochastic, discrete-event simulation that relies on probabilities and random number generators to model scenarios in a maintenance unit ...
George P. Cole III, Alan W. Johnson, J. O. Miller