I am broadly interested in the field of Databases and Search, large-scale datacenters.
GPA: 3.63
Finding a new approach to bug classification using machine learning in software testing phase after development Phase.
The project consists of 3 parts: web-based management system, command engine and executing command.Execution of a command on the server is done in two ways: Active and Passive. In the active execute the command on the server using direct SSH, but in the passive command method, it is first to install the command executable software on the server.
Run Redis Linux in windows with Docker. Create Two database With image RabbitMQ in two Dockers Containers and config both of them to set one of them primary database the other one secondary database.
Deploy a domain-independent Windows Failover Cluster for SQL Server Always On Availability Groups with three servers.Primary Replica , Synchronous Secondary replica and Asynchronous Secondary Replica.
Fetch and scrape data from Instagram then with map reduced algorithm find our data and implements the algorithm for recognizing fake comments and fake likes and improves it by using data mining and artificial intelligence algorithms.
Get message from User then encrypt message(Aes128KW) with security key use Socket programming to open and Listen an specific port and transfer message . Use SQL server to store message and use message broker (Redis) to store Data in memory when End User Offline when End User online try send it again.