基于Memcached的中国移动CRM系统性能分析及优化
[Abstract]:In recent years, with the development of software industry, the demand for software has gradually shifted from the original functional support to the performance. That is, the pursuit of not only the "have", but also the pursuit of "good" and "fast." Similarly, with the rapid development of China Mobile's business, the mobile business support system must provide sufficient support in terms of performance. In the face of the rapid growth in the number of users and business of China Mobile, the current CRM (CustomerRelationship Management, customer relationship Management (CRM) system has gradually exposed the problems caused by the performance. Especially at the beginning and end of the month, the system access increased sharply, resulting in a sharp decline in system performance. Therefore, the performance analysis and optimization of mobile CRM system will be of great significance to improve the operation support capacity of mobile. This paper first introduces several common cache technologies at home and abroad, and gives the corresponding advantages and disadvantages. Then for the Memcached to do a related introduction, for the later transformation laid the foundation. Then it analyzes the current performance of mobile CRM, points out the bottleneck that seriously affects the performance, and describes in detail how to use Memcached to solve the bottleneck to improve the performance of the support system. It mainly includes the design of Memcached cache structure, the encapsulation of data loading strategy, API (Application Programming Interface, application programming interface, the support of big data object transformation, and the concrete transformation of mobile CRM system. Finally, the effectiveness of Memcached in improving the performance of mobile CRM is demonstrated by comparing the performance of the system before and after modification. Finally, it is concluded that Memcached is of great practical and scientific significance in solving the performance problems of similar large-scale systems.
【学位授予单位】:中山大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:TP315
【参考文献】
相关期刊论文 前10条
1 张震,饶光,唐戎;Web Cache技术及其在电信运营商中的应用[J];电信建设;2004年02期
2 杨立身;曹志义;;内存缓存技术在门户网站开发中的应用研究[J];电脑知识与技术;2008年25期
3 赵宏波 ,孟雅玲;数据挖掘在电信客户关系管理中的应用[J];电信技术;2001年12期
4 齐佳音,李怀祖,吴建林;客户关系管理辨析[J];工业工程;2002年04期
5 徐齐行;敖杰刚;;基于Memcached的GML存储缓存构建研究[J];测绘标准化;2012年03期
6 涂婷婷;王晶;王纯;;Memcached在彩印SNS网站上的应用[J];电信工程技术与标准化;2012年09期
7 肖宁;;Web缓存技术研究与应用[J];计算机光盘软件与应用;2012年18期
8 谢骋超;陈华钧;张宇;;DartCache:一个基于哈希表的分布式Cache系统[J];计算机科学;2006年08期
9 蒋才智;王浩;;基于memcached的动态四字双向词典机制[J];计算机应用研究;2011年01期
10 胡志华;王珏明;;动态Web Cache系统研究与探讨[J];计算机应用与软件;2006年09期
相关硕士学位论文 前6条
1 熊任冲;南昌移动客户关系管理研究[D];南昌大学;2011年
2 余焕宁;广州移动CRM应用研究与实施[D];北京邮电大学;2008年
3 陈涛;基于内存的分布式缓存系统设计[D];华中师范大学;2012年
4 苏玮;分布式缓存技术在插入密集型系统中应用的研究与实现[D];电子科技大学;2012年
5 李i芰
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