[1]曹小鹏,唐 煜,张 莹.电力交易信息发布平台研究与设计[J].计算机技术与发展,2018,28(07):192-195.[doi:10.3969/ j. issn.1673-629X.2018.07.041]
　CAO Xiao-peng,TANG Yu,ZHANG Ying.Research and Design on Power Information Publishing Platform[J].,2018,28(07):192-195.[doi:10.3969/ j. issn.1673-629X.2018.07.041]
点击复制

电力交易信息发布平台研究与设计()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年07期
页码:
192-195
栏目:
应用开发研究
出版日期:
2018-07-10

文章信息/Info

Title:
Research and Design on Power Information Publishing Platform
文章编号:
1673-629X(2018)07-0192-04
作者:
曹小鹏; 唐 煜; 张 莹
西安邮电大学 计算机学院,陕西 西安 710121
Author(s):
CAO Xiao-peng; TANG Yu; ZHANG Ying
School of Computer,Xi’an University of Posts and Telecommunications,Xi’an 710121,China
关键词:
移动互联网; 云计算; 电力交易; 信息发布
Keywords:
mobile Internet; cloud computing; power trade; information publishing
分类号:
TP319
DOI:
10.3969/ j. issn.1673-629X.2018.07.041
文献标志码:
A
摘要:
为了能够及时、准确、高效地进行电力交易多媒体信息的发布、共享与管理等,设计开发了电力交易信息发布平台。对电力交易信息发布平台的业务逻辑功能进行了分析、研究,设计并建立了应用平台整体体系架构模型、应用模型、数据模型、技术架构模型及安全架构模型;移动互联网软件作为信息获取最有效、最快捷的方法,研究了基于移动互联网软件的实现方法;云平台可以实现系统部署的高可用性和高可伸缩性,研究了云服务器端软件实现方法,设计采用了先进的 REST 技术。 在此基础上,设计并实现了基于移动互联网和云计算平台的多媒体电力交易信息整合、发布与管理平台。
平台经过实际用户验证,完成了所有的业务逻辑功能,能够实现电力交易多媒体信息的实时发布、共享、交互与管理,提高了工作效率。
Abstract:
In order to be timely,accurate and efficient publishing,sharing and management of power trading information,we design and develop a platform for power trading information publishing. We analyze and study the business logic of the power trading information publishing platform,and design and establish its system architecture model,application model,data model,technical architecture model and security architecture model. The implementation based on software of mobile Internet,a most effective method of information acquisition,is researched. The cloud platform can realize high availability and flexibility for system deployment,and we research the implementation of cloud server software and develop the advanced REST technology. On the basis,we design and implement the multimedia information integration,publishing and management platform based on mobile Internet and cloud computing. The platform has been verified by users with completion of all the business logic functions,which can realize the real-time releasing,sharing,interaction and management of multimedia information and improve work efficiency.

相似文献/References:

[1]王茜,朱志祥,史晨昱,等.应用于数据库安全保护的加解密引擎系统[J].计算机技术与发展,2014,24(01):143.
　WANG Qian[],ZHU Zhi-xiang[],SHI Chen-yu[],et al.Encryption and Decryption Engine System Applying to Database Security and Detection[J].,2014,24(07):143.
[2]陈丹伟 黄秀丽 任勋益.云计算及安全分析[J].计算机技术与发展,2010,(02):99.
　CHEN Dan-wei,HUANG Xiu-li,REN Xun-yi.Analysis of Cloud Computing and Cloud Security[J].,2010,(07):99.
[3]孙放 陈云芳 林杭锋.适用于富客户端的云计算模型[J].计算机技术与发展,2010,(08):96.
　SUN Fang,CHEN Yun-fang,LIN Hang-feng.Cloud Computing Model Applicable to Rich Client Applications[J].,2010,(07):96.
[4]郭苑 张顺颐 孙雁飞.物联网关键技术及有待解决的问题研究[J].计算机技术与发展,2010,(11):180.
　GUO Yuan,ZHANG Shun-yi,SUN Yan-fei.Research of Key Technologies and Unresolved Questions of Internet of Things[J].,2010,(07):180.
[5]李玲娟 张敏.云计算环境下关联规则挖掘算法的研究[J].计算机技术与发展,2011,(02):43.
　LI Ling-juan,ZHANG Min.Research on Algorithms of Mining Association Rule under Cloud Computing Environment[J].,2011,(07):43.
[6]王德政 申山宏 周宁宁.云计算环境下的数据存储[J].计算机技术与发展,2011,(04):81.
　WANG De-zheng,SHEN Shan-hong,ZHOU Ning-ning.Data Storage in Cloud Computing Environment[J].,2011,(07):81.
[7]宋丽华 姜家轩 张建成 田长录 马文征.黄河三角洲云计算平台关键技术的研究[J].计算机技术与发展,2011,(06):40.
　SONG Li-hua,JIANG Jia-xuan,ZHANG Jian-cheng,et al.Research of Key Technologies of Cloud Computing of Yellow River Delta[J].,2011,(07):40.
[8]田宏伟 解福 倪俊敏.云计算环境下基于粒子群算法的资源分配策略[J].计算机技术与发展,2011,(12):22.
　TIAN Hong-wei,XIE Fu,NI Jun-min.Resource Allocation Algorithm Based on Particle Swarm Algorithm in Cloud Computing Environment[J].,2011,(07):22.
[9]张慧 邢培振.云计算环境下信息安全分析[J].计算机技术与发展,2011,(12):164.
　ZHANG Hui,XING Pei-zhen.Information Security Analysis in Cloud Computing Environment[J].,2011,(07):164.
[10]张建成[] 宋丽华[] 鹿全礼[] 郭锐[] 刘永泉[].云计算方案分析研究[J].计算机技术与发展,2012,(01):165.
　ZHANG Jian-cheng,SONG Li-hua,LU Quan-li,et al.Study and Analysis of Cloud Computing Procedure[J].,2012,(07):165.

更新日期/Last Update: 2018-09-05