Thread-Level Parallelism & Shared-Memory Pool Techniques for Authorization of Credit Card System

Abstract

Nowadays, credit card is a famous trend used by millions of people around the world as a form of payment. This paper presented an architectural framework and prototype of credit card authorization system using thread-level parallelism and shared memory pool techniques in order to support dynamic tuning of the size of the thread pool at runtime. Normally, single threaded were chosen by software developer in current credit card authorization whereby authentication process takes longer time to respond and its limitation of handling huge number of simultaneous transactions at the same time. As a result, the performance of the authorization system was affected during peak hours. Through thread-level parallelism technique or usually known as multi-threading, each worker thread will be assigned with several child threads to perform online fraud validation concurrently, depending on numbers of cryptographic elements presented in transaction message while the work thread itself performed card restriction validation based on the card information stored in card's shared memory pool.