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Research paper on Multi-Threading vs. Multi-Processing applies to Operating System & Application. The research analyzes the fundamental of multiprocess and multithreading programming. The report paper also explains the basics of how operating system functions, and OS Scheduler Algorithms. I also implement the Producer-Consumer Problem using Cond…
Middleware based on blockchain data structures ensures updated, compliant, in sequence, fault-tolerant, and buffered data flow between any kind of producers and consumers.
Concurrent web server using producer-consumer problem with different scheduling policies - Shortest File First, Shortest File Name First, First in First Out, and security.
Producer and Consumer are part of an application. The producer access a two dim matrix of int (of 100 x 100) and produces the memory address as an item and store it in a array of pointers to int. The consumers compete and get an entry of the array that corresponds to a row, and finds the number of primes in that row and adds it to a shared sum
The Producer-Consumer problem is a classic synchronization problem in operating systems. The problem is defined as follows: there is a fixed-size buffer and a Producer process, and a Consumer process.
This is a project to solve the problem of the Producers and Consumers in Java Language with the use of Threads to do the work! The generic form to solve this problem is with the Semaphores to help with a organized and wise way. But here is my solution without the use of Threads!
This repository contains code for comparing the performance of three different ELT (Extract, Load, Transform) methods on CSV files of different sizes. The three methods are implemented in Python using different approaches and libraries, and their execution times are compared and plotted for analysis.