Novel Algorithms and Techniques in Telecommunications and Networking
نویسندگان
چکیده
Simulated use of IP applications on hosts spread on the internet is expensive, which leads already in simple use cases to an enormous amount of time for setting up and carrying out an experiment. Complex scenarios are only possible with an additional infrastructure. This document describes a framework with which a needed infrastructure can be implemented. This infrastructure allows an efficient use of the IP applications, even if their hosts are spread all over the WAN. Due to the most different kinds of use cases a general solution is necessary. This solution is to meet any requirements so that all necessary IP applications can be integrated. Integration means that any application has a remote control feature. This feature is accessible from a special host, which also offers a comfortable remote desktop service on the internet. Supported by this remote desktop service an indirect remote control of applications in a test field is possible. Target audience for the IP application test framework, briefly IPAT framework, are groups, institutes or companies engaged in predevelopment research or pre-deployment activities of distributed IP applications. (Abstract)
منابع مشابه
Efficient radio resource management algorithms in opportunistic cognitive radio networks
Cognitive radio (CR) paradigm was introduced, towards addressing challenges, related with radio spectrum scarcity and increased needs for wireless networking services provision. In this direction, CR networks exploit novel networking architectures, as well as dynamic radio spectrum access techniques and methods, alleviating problems, regarding limited wireless networking resources and their ine...
متن کاملA Novel Intrusion Detection Systems based on Genetic Algorithms-suggested Features by the Means of Different Permutations of Labels’ Orders
Intrusion detection systems (IDS) by exploiting Machine learning techniques are able to diagnose attack traffics behaviors. Because of relatively large numbers of features in IDS standard benchmark dataset, like KDD CUP 99 and NSL_KDD, features selection methods play an important role. Optimization algorithms like Genetic algorithms (GA) are capable of finding near-optimum combination of the fe...
متن کاملProvide a stock price forecasting model using deep learning algorithms and its use in the pricing of Islamic bank stocks
Predicting stock prices is complicated; various components, such as the general state of the economy, political events, and investor expectations, affect the stock market. The stock market is in fact a chaotic nonlinear system that depends on various political, economic and psychological factors. To overcome the limitations of traditional analysis techniques in predicting nonlinear patterns, ex...
متن کاملNovel Radial Basis Function Neural Networks based on Probabilistic Evolutionary and Gaussian Mixture Model for Satellites Optimum Selection
In this study, two novel learning algorithms have been applied on Radial Basis Function Neural Network (RBFNN) to approximate the functions with high non-linear order. The Probabilistic Evolutionary (PE) and Gaussian Mixture Model (GMM) techniques are proposed to significantly minimize the error functions. The main idea is concerning the various strategies to optimize the procedure of Gradient ...
متن کاملA Novel Experimental Analysis of the Minimum Cost Flow Problem
In the GA approach the parameters that influence its performance include population size, crossover rate and mutation rate. Genetic algorithms are suitable for traversing large search spaces since they can do this relatively fast and because the mutation operator diverts the method away from local optima, which will tend to become more common as the search space increases in size. GA’s are base...
متن کاملA NEW MULTIPLE CRITERIA DECISION-MAKING METHOD BASED ON BIPOLAR FUZZY SOFT GRAPHS
In this research study, we present a novel frame work for handling bipolar fuzzy soft information by combining bipolar fuzzy soft sets with graphs. We introduce several basic notions concerning bipolar fuzzy soft graphs and investigate some related properties. We also consider the application of the bipolar fuzzy soft graphs. In particular, three efficient algorithms are developed to solve mult...
متن کامل