Search Results for "performance"

A wireless push-type network simulator that considers locality of demand for performance improvement. The network environment consists of multiple directed emitters for parallel data broadcasting. Performance depends on the mean response time of clients.

SGsim is a co-simulation framework consists mainly of the network simulator OMNeT++ and the power grid simulator OpenDSS. Related Publications: Abdalkarim Awad, Peter Bazan and Reinhard German, " A Short Tutorial On Using SGsim Framework For Smart Grid Applications" Proceedings of the 10th EAI on Performance Evaluation Methodologies and Tools 2016, Taormina, Italy, pp.1-6, October 2016 Abdalkarim Awad, Peter Bazan and Reinhard German, " Co-Simulation-Based Evaluation of Volt-VAR Control...

TraceMetrics is a trace file analyzer for Network Simulator 3 (ns-3). The main goal is to perform a quick analyzis of the trace file produced by ns-3's simulations and calculate useful metrics for research and performance measurement. Such tool is needed because a research simulation may generate a trace file with thousands of lines, becoming dificult to analyze manually. Due to this, this tool can be handy in case someone needs a metric that the tool already support. TraceMetrics...

How can we analyze the water quality of a river? How can we monitor streets, cities, provinces of a country? How can we predict and prevent problems coming from earthquakes, snowstorms, fire spreads and all kinds of natural disasters? How can we test some new drugs without using animals? These and many other problems are initially solved by using simulators. It is extremely expensive, and sometimes dangerous, to test initial ideas in a real environment. We must use simulators to achieve...

NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.

NS2 Linux is dedicated to improve the Network Simulator (NS-2) to match Linux performance. Planned contents include: an NS-2 module that runs Linux congestion control functions, tutorials on how to run NS-2 to match Linux performance, benchmark for TCP.

ROOTSNNS is a set of C++ classes which allows one to use the Stuttgart Neural Network Simulator kernel (ansi-C) within the ROOT, a data analysis package. Multiple ANNs can be built, trained, and tested, while results and ANN performance can be saved.

Improved Network Energy Conserving Algorithm based Sensor Network Simulator. The algorithm derives from LEACH and gives better performance.