【中英雙語】509關(guān)于計(jì)算機(jī)專業(yè)app設(shè)計(jì)有關(guān)的外文文獻(xiàn)翻譯成品英文英語資料：web應(yīng)用程序開發(fā)中mysql和mongodb的混合數(shù)據(jù)庫系統(tǒng)（中英文雙語對(duì)照）

1、此文檔是畢業(yè)設(shè)計(jì)外文翻譯成品（ 含英文原文+中文翻譯） ，無需調(diào)整復(fù)雜的格式！下載之后直接可用，方便快捷！本文價(jià)格不貴,也就幾十塊錢！一輩子也就一次的事！外文標(biāo)題：Hybrid Database System of MySQL and MongoDB in Web Application Development外文作者：Gregorius Ongo，Gede Putra Kusuma文獻(xiàn)出處: 2019 International C

2、onference on Information Management and Technology (ICIMTech) (如覺得年份太老，可改為近 2 年，畢竟很多畢業(yè)生都這樣做)英文 3297 單詞，19987 字符(字符就是印刷符)，中文 5223 漢字。 （如果字?jǐn)?shù)多了，可自行刪減，大多數(shù)學(xué)校都是要求選取外文的一部分內(nèi)容進(jìn)行翻譯的。 ）Hybrid Database System of MySQL and MongoDB in

3、 Web Application DevelopmentAbstract—The increasing amount of data that need to be processed in a company are affecting the performances of the database system. Relational Database Management System (RDBMS) is a commonly

4、 used database system, but also known to having a decreased performance when handling high amount of data. NoSQL is an alternative storage option that is different than RDBMS and known for faster performance when handlin

5、g high amount of data. In this contribution, we compare the performances between RDBMS MySQL and a hybrid model of MySQL and NoSQL MongoDB when being used on a web application. We implemented a simple social media websit

6、e to evaluate the performance of using different database models. The website is equipped with chat and profile view features. Experiments are performed using randomly generated user profiles and chat data. Based on our

7、evaluations, the hybrid database of MySQL and MongoDB achieves higher read and write performances than the MySQL alone. Meanwhile MySQL can handle more sensitive data and maintaining data consistency. The hybrid model da

8、tabase MySQL and MongoDB uses less disk space than MySQL alone, but uses more RAM. We also observed that NoSQL that uses document system. Although RDBMS have a good reputation, RDBMS tends to have decreased performance w

9、ith the increasing data usage in the system. The replication of the relational database can be limited. The relational databases are also made based on consistency rather than availability [4]. NoSQL, on other hand, has

10、a different reputation. It is known to be good at storing high amount of data. The scheme free characteristic of NoSQL made the scalability of the database better. However, these advantages come with sacrifices, such as

11、weaker security or lesser data consistency.The increasing amount of data that need to be processed in a company are affecting the performances of the database system. Hardware upgrades are also needed to make the system

12、performance back to its expected level [5]. The other effect of the technology advances is big data. The big data is more common to be found in big companies, and managing big data can be a key in competing with other co

13、mpanies [6]. Therefore, we propose a hybrid database system of MySQL and MongoDB to improve the performance of a web application by harnessing the capabilities of the RDMS and NoSQL database models. The ability of the RD

14、BMS in storing sensitive data complements the ability of NoSQL in processing high amount of data. The proposed hybrid database system is implemented using MySQL for relational database and MongoDB for NoSQL.II.RELATED WO

15、RKSHybrid database model is a database system that uses two or more different database models in a system [7]. This model is preferred because sometimes the stored data is not always suitable with the database model bein

16、g used. Therefore, Cook tried to combine two databases that have different models: object oriented database and relational database [8]. From the experiments, Cook founds some benefits in using multiple database models i

17、n a system, such as:? Flexibility. In complex data types, the data may need to be forced to fit the storage model that is being used in the system. Hybrid database model can increase the flexibility of the system to stor

18、e different types of data.? Increased performance. Leveraging the strengths of multiple storage models improves the system performance.? Logical distribution. The distribution of data is better and the number of forced d