An overview on multiple types of networks in SDN and their functionalities, architecture and the working of an SDN, modeling and programming techniques of an SDN, OpenFlow protocols, SDN-C, TL1 and Yang, Core Networks and their concept and the ODL Community.
A use case of Reactive Microservices with an introduction to Spring web-flux, a nonblocking implementation for RestServices, Html Browsers and WebSocket.
Probabilistic Data Structures are an alternative and powerfull way to solve some problems where it is traded space and/or time complexity for accuracy. In this White Paper we introduce two of these structures: The Bloom Filter and the HyperLogLog.
In this paper, the author analyzes two different technical solutions to solve the use case presented on simulated systems.
This work is based on two thematic ideas, each of them will have conclusions and practical points of view for the reader. The first one will be based on the recognition of the available information following the methods and procedures on the actual operation. The second one will be about activities standardization, time normalization and finally the establishment of performance indicators for the operations department.
Naive Bayes is a powerful technique based on probabilities, used for classification problems. We are going to visit the concepts of machine learning, its working principle, taxonomy and types of problems. Later we will introduce the Naive Bayes method itself with its pros and cons, some extensions and conclusions.
Have you ever wondered how companies forecast their sales? Is sales forecasting an art or a science? These are all good questions and if there were just one aspect of strategic sales planning that all companies would love to improve on, it would probably be more accurate sales forecast.