Аналіз та розробка програмного забезпечення e-commerce системи з розподіленим навантаженням

Abstract

In the article the construction of systems with distributed load for maximum performance exchange e-commerce systems, compare system Exchange and performance methods, develop software and build a system to operate the service that allows you to create, edit, verify, make changes and optimiz. To optimize offers in conditions of continuous growth and distribution of data information of e-commerce systems on numerous nodes of computing network. The object and the subject of research the main object of study is the data processing system that provides communication between the commercial systems of e-commerce type and the system of automated analysis and data collection. Subject of research is an OLAP cube technology for building a relational database table large data. Methods and means of research the system research methods are analysis of types and types of platforms, which are used for the creation of running-applications and web-servers, analysis of the characteristics of frameworks and CMS, algorithms of technologies of Big Data class, researches of calculation of CPU time and server testing using Zend Framework.Scientific novelty and practical significance of the results. The received scientific results on improving of the system of effective access to the Database in the Internet will allow to create big data systems on the basis of OLAP technology in various fields of application. The system allows distributing and optimally working with large amounts of data at the expense of internal and external optimization, mixed access to structured queries, distributed server load providing horizontal foliation database technology.

Завданням роботи було дослідити максимально допустимі об‘єми даних, завантажених з e-commerce системи; порівняти методи обміну та швидкодії системи, розробити програмне забезпечення та побудувати систему для роботи сервісу, яка дозволяє створювати, редагувати, перевіряти, вносити зміни та оптимізувати пропозиції в умовах безперервного росту й розподілення інформації даних e-commerce системи по численних вузлах обчислювальної мережі.